From 74e386046cb05b39b632a0ec8a00b9a5bda4a674 Mon Sep 17 00:00:00 2001 From: Manuel Garcia Date: Mon, 16 Sep 2024 11:05:47 +0200 Subject: [PATCH 1/8] move models to illuminator package --- .../illuminator/models}/Battery/__init__.py | 0 .../models}/Battery/battery_model.py | 356 +- .../models}/Battery/battery_mosaik.py | 358 +- .../models}/Controller/__init__.py | 0 .../models}/Controller/controller_model.py | 106 +- .../models}/Controller/controller_mosaik.py | 294 +- .../illuminator/models}/Eboiler/__init__.py | 0 .../models}/Eboiler/eboiler_model.py | 110 +- .../models}/Eboiler/eboiler_model_old.py | 0 .../models}/Eboiler/eboiler_mosaik.py | 0 .../models}/EleDisNetworkSim/model.py | 0 .../models}/EleDisNetworkSim/network.py | 300 +- .../models}/EleDisNetworkSim/simulator.py | 0 .../models}/Electrolyser/__init__.py | 0 .../Electrolyser/electrolyser_model.py | 74 +- .../Electrolyser/electrolyser_mosaik.py | 168 +- .../models}/Elenetwork/__init__.py | 0 .../Elenetwork/electricity_network_model.py | 0 .../Elenetwork/electricity_network_mosaik.py | 0 .../illuminator/models}/Fuelcell/__init__.py | 0 .../models}/Fuelcell/fuelcell_model.py | 56 +- .../models}/Fuelcell/fuelcell_mosaik.py | 162 +- .../models}/H2demand/h2demand_model.py | 0 .../models}/H2demand/h2demand_mosaik.py | 0 .../illuminator/models}/H2network/__init__.py | 0 .../models}/H2network/gas_network_model.py | 0 .../models}/H2network/gas_network_mosaik.py | 0 .../models}/H2product/h2product_model.py | 0 .../models}/H2product/h2product_mosaik.py | 0 .../illuminator/models}/H2storage/__init__.py | 0 .../models}/H2storage/h2storage_model.py | 226 +- .../models}/H2storage/h2storage_mosaik.py | 232 +- .../models}/Heatdemand/qdemand_model.py | 0 .../models}/Heatdemand/qdemand_mosaik.py | 0 .../models}/Heatnetwork/__init__.py | 0 .../models}/Heatnetwork/heat_network_model.py | 0 .../Heatnetwork/heat_network_mosaik.py | 0 .../models}/Heatproduct/qproduct_model.py | 0 .../models}/Heatproduct/qproduct_mosaik.py | 0 .../illuminator/models}/Heatpump/__init__.py | 0 .../models}/Heatpump/controller/__init__.py | 0 .../models}/Heatpump/controller/controller.py | 0 .../Heatpump/controller/controller_mosaik.py | 0 .../Heatpump/heatpump/Heat_Pump_Des.py | 0 .../Heatpump/heatpump/Heat_Pump_Model.py | 0 .../Heatpump/heatpump/Heat_Pump_mosaik.py | 0 .../models}/Heatpump/heatpump/__init__.py | 0 .../models}/Heatpump/heatpump/cop_m_data.json | 0 .../models}/Heatpump/heatpump/eta_s_data.json | 0 .../heat_pump/components/Compressor.csv | 6 +- .../heat_pump/components/Condenser.csv | 4 +- .../heat_pump/components/CycleCloser.csv | 6 +- .../heatpump/heat_pump/components/Drum.csv | 4 +- .../heat_pump/components/HeatExchanger.csv | 8 +- .../components/HeatExchangerSimple.csv | 4 +- .../heatpump/heat_pump/components/Pump.csv | 8 +- .../heatpump/heat_pump/components/Sink.csv | 6 +- .../heatpump/heat_pump/components/Source.csv | 6 +- .../heatpump/heat_pump/components/Valve.csv | 4 +- .../heat_pump/components/char_line.csv | 38 +- .../heat_pump/components/char_map.csv | 10 +- .../heatpump/heat_pump/connections.csv | 44 +- .../Heatpump/heatpump/heat_pump/network.json | 50 +- .../Heatpump/hotwatertanksim/__init__.py | 0 .../Heatpump/hotwatertanksim/hotwatertank.py | 0 .../hotwatertanksim/hotwatertank_mosaik.py | 0 .../models}/Heatstorage/__init__.py | 0 .../models}/Heatstorage/qstorage_model.py | 0 .../models}/Heatstorage/qstorage_mosaik.py | 0 .../models}/Hotwaterstorage/__init__.py | 0 .../Hotwaterstorage/hotwaterstorage_model.py | 0 .../Hotwaterstorage/hotwaterstorage_mosaik.py | 0 .../illuminator/models}/Load/__init__.py | 0 .../illuminator/models}/Load/load_model.py | 38 +- .../illuminator/models}/Load/load_mosaik.py | 172 +- .../models}/LoadinNetSim/demo_lv_grid.csv | 196 +- .../models}/LoadinNetSim/demo_lv_resident.csv | 70118 ++++++++-------- .../models}/LoadinNetSim/example/collector.py | 114 +- .../models}/LoadinNetSim/example/demo.py | 118 +- .../LoadinNetSim/example/demo_lv_grid.csv | 122 +- .../LoadinNetSim/example/demo_lv_grid.xlsx | Bin .../models}/LoadinNetSim/example/loadmodel.py | 86 +- .../LoadinNetSim/example/model_mosaikapi.py | 208 +- .../LoadinNetSim/example/profiles.data | 0 .../models/LoadinNetSim/example/read_csv.py | 0 .../models}/LoadinNetSim/example/testapi.py | 4 +- .../models}/LoadinNetSim/example/testmodel.py | 48 +- .../illuminator/models}/LoadinNetSim/model.py | 176 +- .../models}/LoadinNetSim/mosaik-model.py | 264 +- .../models}/LoadinNetSim/profiles.data | 0 .../LoadinNetSim/results1month_update.csv | 6186 +- .../illuminator/models}/PV/pv_model.py | 214 +- .../illuminator/models}/PV/pv_model_new.py | 228 +- .../illuminator/models}/PV/pv_mosaik.py | 228 +- .../illuminator/models}/Valves/__init__.py | 0 .../models}/Valves/h2valve_model.py | 0 .../models}/Valves/h2valve_mosaik.py | 0 .../models}/Valves/qvalve_model.py | 0 .../models}/Valves/qvalve_mosaik.py | 0 .../illuminator/models}/Wind/Wind_model.py | 124 +- .../illuminator/models}/Wind/wind_mosaik.py | 270 +- .../illuminator/models}/__init__.py | 0 .../illuminator/models}/collector.py | 278 +- .../illuminator/models}/influxdbwriter.py | 0 .../illuminator/models/mosaik_csv.py | 268 +- .../illuminator/models}/mosaik_sql.py | 0 .../illuminator/models}/mqttsend.py | 108 +- {Models => src/illuminator/models}/submqtt.py | 178 +- 108 files changed, 41193 insertions(+), 41193 deletions(-) rename {Models => src/illuminator/models}/Battery/__init__.py (100%) rename {Models => src/illuminator/models}/Battery/battery_model.py (97%) rename {Models => src/illuminator/models}/Battery/battery_mosaik.py (97%) rename {Models => src/illuminator/models}/Controller/__init__.py (100%) rename {Models => src/illuminator/models}/Controller/controller_model.py (97%) rename {Models => src/illuminator/models}/Controller/controller_mosaik.py (97%) rename {Models => src/illuminator/models}/Eboiler/__init__.py (100%) rename {Models => src/illuminator/models}/Eboiler/eboiler_model.py (97%) rename {Models => src/illuminator/models}/Eboiler/eboiler_model_old.py (100%) rename {Models => src/illuminator/models}/Eboiler/eboiler_mosaik.py (100%) rename {Models => src/illuminator/models}/EleDisNetworkSim/model.py (100%) rename {Models => src/illuminator/models}/EleDisNetworkSim/network.py (98%) rename {Models => src/illuminator/models}/EleDisNetworkSim/simulator.py (100%) rename {Models => src/illuminator/models}/Electrolyser/__init__.py (100%) rename {Models => src/illuminator/models}/Electrolyser/electrolyser_model.py (97%) rename {Models => src/illuminator/models}/Electrolyser/electrolyser_mosaik.py (97%) rename {Models => src/illuminator/models}/Elenetwork/__init__.py (100%) rename {Models => src/illuminator/models}/Elenetwork/electricity_network_model.py (100%) rename {Models => src/illuminator/models}/Elenetwork/electricity_network_mosaik.py (100%) rename {Models => src/illuminator/models}/Fuelcell/__init__.py (100%) rename {Models => src/illuminator/models}/Fuelcell/fuelcell_model.py (97%) rename {Models => src/illuminator/models}/Fuelcell/fuelcell_mosaik.py (96%) rename {Models => src/illuminator/models}/H2demand/h2demand_model.py (100%) rename {Models => src/illuminator/models}/H2demand/h2demand_mosaik.py (100%) rename {Models => src/illuminator/models}/H2network/__init__.py (100%) rename {Models => src/illuminator/models}/H2network/gas_network_model.py (100%) rename {Models => src/illuminator/models}/H2network/gas_network_mosaik.py (100%) rename {Models => src/illuminator/models}/H2product/h2product_model.py (100%) rename {Models => src/illuminator/models}/H2product/h2product_mosaik.py (100%) rename {Models => src/illuminator/models}/H2storage/__init__.py (100%) rename {Models => src/illuminator/models}/H2storage/h2storage_model.py (97%) rename {Models => src/illuminator/models}/H2storage/h2storage_mosaik.py (97%) rename {Models => src/illuminator/models}/Heatdemand/qdemand_model.py (100%) rename {Models => src/illuminator/models}/Heatdemand/qdemand_mosaik.py (100%) rename {Models => src/illuminator/models}/Heatnetwork/__init__.py (100%) rename {Models => src/illuminator/models}/Heatnetwork/heat_network_model.py (100%) rename {Models => src/illuminator/models}/Heatnetwork/heat_network_mosaik.py (100%) rename {Models => src/illuminator/models}/Heatproduct/qproduct_model.py (100%) rename {Models => src/illuminator/models}/Heatproduct/qproduct_mosaik.py (100%) rename {Models => src/illuminator/models}/Heatpump/__init__.py (100%) rename {Models => src/illuminator/models}/Heatpump/controller/__init__.py (100%) rename {Models => src/illuminator/models}/Heatpump/controller/controller.py (100%) rename {Models => src/illuminator/models}/Heatpump/controller/controller_mosaik.py (100%) rename {Models => src/illuminator/models}/Heatpump/heatpump/Heat_Pump_Des.py (100%) rename {Models => src/illuminator/models}/Heatpump/heatpump/Heat_Pump_Model.py (100%) rename {Models => src/illuminator/models}/Heatpump/heatpump/Heat_Pump_mosaik.py (100%) rename {Models => src/illuminator/models}/Heatpump/heatpump/__init__.py (100%) rename {Models => src/illuminator/models}/Heatpump/heatpump/cop_m_data.json (100%) rename {Models => src/illuminator/models}/Heatpump/heatpump/eta_s_data.json (100%) rename {Models => src/illuminator/models}/Heatpump/heatpump/heat_pump/components/Compressor.csv (99%) rename {Models => src/illuminator/models}/Heatpump/heatpump/heat_pump/components/Condenser.csv (99%) rename {Models => src/illuminator/models}/Heatpump/heatpump/heat_pump/components/CycleCloser.csv (99%) rename {Models => src/illuminator/models}/Heatpump/heatpump/heat_pump/components/Drum.csv (98%) rename {Models => src/illuminator/models}/Heatpump/heatpump/heat_pump/components/HeatExchanger.csv (99%) rename {Models => src/illuminator/models}/Heatpump/heatpump/heat_pump/components/HeatExchangerSimple.csv (99%) rename {Models => src/illuminator/models}/Heatpump/heatpump/heat_pump/components/Pump.csv (99%) rename {Models => src/illuminator/models}/Heatpump/heatpump/heat_pump/components/Sink.csv (98%) rename {Models => src/illuminator/models}/Heatpump/heatpump/heat_pump/components/Source.csv (98%) rename {Models => src/illuminator/models}/Heatpump/heatpump/heat_pump/components/Valve.csv (99%) rename {Models => src/illuminator/models}/Heatpump/heatpump/heat_pump/components/char_line.csv (99%) rename {Models => src/illuminator/models}/Heatpump/heatpump/heat_pump/components/char_map.csv (99%) rename {Models => src/illuminator/models}/Heatpump/heatpump/heat_pump/connections.csv (99%) rename {Models => src/illuminator/models}/Heatpump/heatpump/heat_pump/network.json (94%) rename {Models => src/illuminator/models}/Heatpump/hotwatertanksim/__init__.py (100%) rename {Models => src/illuminator/models}/Heatpump/hotwatertanksim/hotwatertank.py (100%) rename {Models => src/illuminator/models}/Heatpump/hotwatertanksim/hotwatertank_mosaik.py (100%) rename {Models => src/illuminator/models}/Heatstorage/__init__.py (100%) rename {Models => src/illuminator/models}/Heatstorage/qstorage_model.py (100%) rename {Models => src/illuminator/models}/Heatstorage/qstorage_mosaik.py (100%) rename {Models => src/illuminator/models}/Hotwaterstorage/__init__.py (100%) rename {Models => src/illuminator/models}/Hotwaterstorage/hotwaterstorage_model.py (100%) rename {Models => src/illuminator/models}/Hotwaterstorage/hotwaterstorage_mosaik.py (100%) rename {Models => src/illuminator/models}/Load/__init__.py (100%) rename {Models => src/illuminator/models}/Load/load_model.py (97%) rename {Models => src/illuminator/models}/Load/load_mosaik.py (97%) rename {Models => src/illuminator/models}/LoadinNetSim/demo_lv_grid.csv (98%) rename {Models => src/illuminator/models}/LoadinNetSim/demo_lv_resident.csv (99%) rename {Models => src/illuminator/models}/LoadinNetSim/example/collector.py (96%) rename {Models => src/illuminator/models}/LoadinNetSim/example/demo.py (95%) rename {Models => src/illuminator/models}/LoadinNetSim/example/demo_lv_grid.csv (96%) rename {Models => src/illuminator/models}/LoadinNetSim/example/demo_lv_grid.xlsx (100%) rename {Models => src/illuminator/models}/LoadinNetSim/example/loadmodel.py (96%) rename {Models => src/illuminator/models}/LoadinNetSim/example/model_mosaikapi.py (97%) rename {Models => src/illuminator/models}/LoadinNetSim/example/profiles.data (100%) rename Models/mosaik_csv.py => src/illuminator/models/LoadinNetSim/example/read_csv.py (100%) rename {Models => src/illuminator/models}/LoadinNetSim/example/testapi.py (94%) rename {Models => src/illuminator/models}/LoadinNetSim/example/testmodel.py (96%) rename {Models => src/illuminator/models}/LoadinNetSim/model.py (96%) rename {Models => src/illuminator/models}/LoadinNetSim/mosaik-model.py (96%) rename {Models => src/illuminator/models}/LoadinNetSim/profiles.data (100%) rename {Models => src/illuminator/models}/LoadinNetSim/results1month_update.csv (99%) rename {Models => src/illuminator/models}/PV/pv_model.py (97%) rename {Models => src/illuminator/models}/PV/pv_model_new.py (97%) rename {Models => src/illuminator/models}/PV/pv_mosaik.py (97%) rename {Models => src/illuminator/models}/Valves/__init__.py (100%) rename {Models => src/illuminator/models}/Valves/h2valve_model.py (100%) rename {Models => src/illuminator/models}/Valves/h2valve_mosaik.py (100%) rename {Models => src/illuminator/models}/Valves/qvalve_model.py (100%) rename {Models => src/illuminator/models}/Valves/qvalve_mosaik.py (100%) rename {Models => src/illuminator/models}/Wind/Wind_model.py (97%) rename {Models => src/illuminator/models}/Wind/wind_mosaik.py (97%) rename {Models => src/illuminator/models}/__init__.py (100%) rename {Models => src/illuminator/models}/collector.py (97%) rename {Models => src/illuminator/models}/influxdbwriter.py (100%) rename Models/LoadinNetSim/example/read_csv.py => src/illuminator/models/mosaik_csv.py (96%) rename {Models => src/illuminator/models}/mosaik_sql.py (100%) rename {Models => src/illuminator/models}/mqttsend.py (96%) rename {Models => src/illuminator/models}/submqtt.py (96%) diff --git a/Models/Battery/__init__.py b/src/illuminator/models/Battery/__init__.py similarity index 100% rename from Models/Battery/__init__.py rename to src/illuminator/models/Battery/__init__.py diff --git a/Models/Battery/battery_model.py b/src/illuminator/models/Battery/battery_model.py similarity index 97% rename from Models/Battery/battery_model.py rename to src/illuminator/models/Battery/battery_model.py index b7b4761..fe699c2 100644 --- a/Models/Battery/battery_model.py +++ b/src/illuminator/models/Battery/battery_model.py @@ -1,178 +1,178 @@ - - -import datetime -import pandas as pd -import matplotlib.pyplot as plt - -# sign convension: -ve means discharge, +ve means Charge - -class BatteryModel: - #'battery_set',#max_p,min_p,max_energy,charge_efficiency,discharge_efficiency - #soc_min,soc_max,flag, resolution - #'initial_set', # initial_soc - - def __init__(self, initial_set, battery_set): # this is called a method (since it is basically a function) - # by using '__int__' we are making our own constructor. This helps us to pass all the attributes we want to the - # object that is instantiated. - # 'self' refers to the object calling it. Eg: If we want an object BatteryModel-1, - # self helps in connecting this object with the attributes under __init__() - # everything in the bracket is a parameter. We provide aruguments (or values) for them. - self.soc = initial_set['initial_soc'] - # self.i_soc = initial_set['initial-soc'] ######################################################### -# for every object we create, soc is the attribute it gets with a value we provide. - self.powerout = 0 # an attribute - self.soc_min = battery_set['soc_min'] # an attribute - self.soc_max = battery_set['soc_max'] # an attribute - self.max_p = battery_set['max_p'] # kW # an attribute - self.min_p = battery_set['min_p'] # kW # an attribute - self.max_energy = battery_set['max_energy'] # kWh # an attribute - self.charge_efficiency = battery_set['charge_efficiency'] # an attribute - self.discharge_efficiency = battery_set['discharge_efficiency'] # an attribute - self.flag = battery_set['flag'] # an attribute - self.resolution = battery_set['resolution'] # minitues #an attribute - - - - # this method is called from the output_power method when conditions are met. - def discharge_battery(self, flow2b): #flow2b is in kw - - hours = self.resolution / 60 - flow = max(self.min_p, flow2b) - if (flow < 0): - energy2discharge = flow * hours / self.discharge_efficiency # (-ve) - energy_capacity = ((self.soc_min - self.soc) / 100) * self.max_energy - if self.soc <= self.soc_min: - self.flag = -1 - self.powerout = 0 - else: - if energy2discharge > energy_capacity: - # more than enough energy to discharge - # Check if minimum energy of the battery is reached -> Adjust power if necessary - self.soc = self.soc + (energy2discharge / self.max_energy * 100) - self.powerout = flow - self.flag = 0 # Set flag as ready to discharge or charge - - else: # Fully-discharge Case - self.powerout = energy_capacity / self.discharge_efficiency / hours - # warn('\n Home Battery is fully discharged!! Cannot deliver more energy!') - self.soc = self.soc_min - self.flag = -1 # Set flag as 1 to show fully discharged state - self.soc = round(self.soc, 3) - re_params = {'p_out': self.powerout, - # 'energy_drain': output_show, - # 'energy_consumed': 0, - 'p_in': flow, - 'soc': self.soc, - 'mod': -1, - 'flag': self.flag} - #'i_soc': self.i_soc} - - # here we are returning the values of these parameters which will be needed by another python model - return re_params - - def charge_battery(self, flow2b): - hours = self.resolution / 60 - flow = min(self.max_p, flow2b) - if (flow > 0): - energy2charge = flow * hours * self.charge_efficiency # (-ve) - energy_capacity = ((self.soc_max - self.soc) / 100) * self.max_energy - if self.soc >= self.soc_max: - self.flag = 1 - self.powerout = 0 - else: - if energy2charge <= energy_capacity: - self.soc = self.soc + (energy2charge / self.max_energy * 100) - self.powerout = flow - self.flag = 0 # Set flag as ready to discharge or charge - - else: # Fully-charge Case - self.powerout = energy_capacity / self.charge_efficiency / hours - # warn('\n Home Battery is fully discharged!! Cannot deliver more energy!') - self.soc = self.soc_max - self.flag = 1 # Set flag as 1 to show fully discharged state - self.soc = round(self.soc, 3) - re_params = {'p_out': self.powerout, - # 'energy_consumed': output_show, - # 'energy_drain': 0, - 'p_in': flow, - 'soc': self.soc, - 'mod': 1, - 'flag': self.flag} - - return re_params - - -# this method is like a controller which calls a method depending on the condition. -# first, this is checked. As per the p_ask and soc, everything happens. -# p_ask and soc are the parameters whos values we have to provide when we want to create an object of this class. i.e, - # when we want to make a battery model. - def output_power(self, flow2b, soc):#charging power: positive; discharging power:negative - self.soc = soc # here we assign the value of soc we provide to the attribute self.soc - data_ret = {} - # {'p_out', - # 'soc', - # 'mod', # 0 = noaction,1 = charge,-1=discharge - # 'flag',} # 1 means full charge, -1 means full discharge, 0 means available for control - # conditions start: - if flow2b == 0: # i.e when there isn't a demand of power at all, - - # soc can never exceed the limit so when it is equal to the max, we tell it is completely charged - if self.soc >= self.soc_max: - self.flag = 1 # meaning battery object we created is fully charged - - # soc can never exceed the limit so when it is equal to the min, we tell it is completely discharged - elif self.soc <= self.soc_min: - self.flag = -1 - - # if the soc is between the min and max values, it is ready to be discharged or charged as per the situation - else: - self.flag = 0 # meaning it is available to operate. - - # here we are sending the current state of the battery - re_params={'p_out': 0, - # 'energy_drain': 0, - # 'energy_consumed': 0, - 'p_in': 0, - 'soc': self.soc, - 'mod': 0, - 'flag': self.flag} - else: - # if the p_ask is a -ve value, it means battery needs to discharge. - if flow2b < 0: #discharge - - # Can the battery discharge or not depends on the current state of the battery for which we call the - # method discharge_battery. If the p_ask < 0 condition is met, the program directly goes the method. - re_params = self.discharge_battery(flow2b) - - # other option is for p_ask to be > 0 which means we need to charge. - else: - - # Can the battery charge depends on the current state of the battery for which we call the - # method charge_battery. If the p_ask > 0 condition is met, the program directly goes the method. - re_params = self.charge_battery(flow2b) - - - return re_params - # conditions end - -# if __name__=='__main__': -# initial_set={'initial_soc':50} -# Battery_set = {'max_p': 2, 'min_p': -2, 'max_energy': 10, -# 'charge_efficiency': 0.9, 'discharge_efficiency': 0.9, -# 'soc_min': 10, 'soc_max': 90, 'flag': 0, 'resolution': 15} -# -# -# #max_p,min_p,max_energy,charge_efficiency,discharge_efficiency -# #soc_min,soc_max,flag, resolution -# Model=BatteryModel(initial_set,Battery_set) -# Model.charge_battery(0.1) -# Model.discharge_battery(-0.1) -# Model.output_power(0.1,95) -# Model.output_power(-0.1,95) - - - - - - - + + +import datetime +import pandas as pd +import matplotlib.pyplot as plt + +# sign convension: -ve means discharge, +ve means Charge + +class BatteryModel: + #'battery_set',#max_p,min_p,max_energy,charge_efficiency,discharge_efficiency + #soc_min,soc_max,flag, resolution + #'initial_set', # initial_soc + + def __init__(self, initial_set, battery_set): # this is called a method (since it is basically a function) + # by using '__int__' we are making our own constructor. This helps us to pass all the attributes we want to the + # object that is instantiated. + # 'self' refers to the object calling it. Eg: If we want an object BatteryModel-1, + # self helps in connecting this object with the attributes under __init__() + # everything in the bracket is a parameter. We provide aruguments (or values) for them. + self.soc = initial_set['initial_soc'] + # self.i_soc = initial_set['initial-soc'] ######################################################### +# for every object we create, soc is the attribute it gets with a value we provide. + self.powerout = 0 # an attribute + self.soc_min = battery_set['soc_min'] # an attribute + self.soc_max = battery_set['soc_max'] # an attribute + self.max_p = battery_set['max_p'] # kW # an attribute + self.min_p = battery_set['min_p'] # kW # an attribute + self.max_energy = battery_set['max_energy'] # kWh # an attribute + self.charge_efficiency = battery_set['charge_efficiency'] # an attribute + self.discharge_efficiency = battery_set['discharge_efficiency'] # an attribute + self.flag = battery_set['flag'] # an attribute + self.resolution = battery_set['resolution'] # minitues #an attribute + + + + # this method is called from the output_power method when conditions are met. + def discharge_battery(self, flow2b): #flow2b is in kw + + hours = self.resolution / 60 + flow = max(self.min_p, flow2b) + if (flow < 0): + energy2discharge = flow * hours / self.discharge_efficiency # (-ve) + energy_capacity = ((self.soc_min - self.soc) / 100) * self.max_energy + if self.soc <= self.soc_min: + self.flag = -1 + self.powerout = 0 + else: + if energy2discharge > energy_capacity: + # more than enough energy to discharge + # Check if minimum energy of the battery is reached -> Adjust power if necessary + self.soc = self.soc + (energy2discharge / self.max_energy * 100) + self.powerout = flow + self.flag = 0 # Set flag as ready to discharge or charge + + else: # Fully-discharge Case + self.powerout = energy_capacity / self.discharge_efficiency / hours + # warn('\n Home Battery is fully discharged!! Cannot deliver more energy!') + self.soc = self.soc_min + self.flag = -1 # Set flag as 1 to show fully discharged state + self.soc = round(self.soc, 3) + re_params = {'p_out': self.powerout, + # 'energy_drain': output_show, + # 'energy_consumed': 0, + 'p_in': flow, + 'soc': self.soc, + 'mod': -1, + 'flag': self.flag} + #'i_soc': self.i_soc} + + # here we are returning the values of these parameters which will be needed by another python model + return re_params + + def charge_battery(self, flow2b): + hours = self.resolution / 60 + flow = min(self.max_p, flow2b) + if (flow > 0): + energy2charge = flow * hours * self.charge_efficiency # (-ve) + energy_capacity = ((self.soc_max - self.soc) / 100) * self.max_energy + if self.soc >= self.soc_max: + self.flag = 1 + self.powerout = 0 + else: + if energy2charge <= energy_capacity: + self.soc = self.soc + (energy2charge / self.max_energy * 100) + self.powerout = flow + self.flag = 0 # Set flag as ready to discharge or charge + + else: # Fully-charge Case + self.powerout = energy_capacity / self.charge_efficiency / hours + # warn('\n Home Battery is fully discharged!! Cannot deliver more energy!') + self.soc = self.soc_max + self.flag = 1 # Set flag as 1 to show fully discharged state + self.soc = round(self.soc, 3) + re_params = {'p_out': self.powerout, + # 'energy_consumed': output_show, + # 'energy_drain': 0, + 'p_in': flow, + 'soc': self.soc, + 'mod': 1, + 'flag': self.flag} + + return re_params + + +# this method is like a controller which calls a method depending on the condition. +# first, this is checked. As per the p_ask and soc, everything happens. +# p_ask and soc are the parameters whos values we have to provide when we want to create an object of this class. i.e, + # when we want to make a battery model. + def output_power(self, flow2b, soc):#charging power: positive; discharging power:negative + self.soc = soc # here we assign the value of soc we provide to the attribute self.soc + data_ret = {} + # {'p_out', + # 'soc', + # 'mod', # 0 = noaction,1 = charge,-1=discharge + # 'flag',} # 1 means full charge, -1 means full discharge, 0 means available for control + # conditions start: + if flow2b == 0: # i.e when there isn't a demand of power at all, + + # soc can never exceed the limit so when it is equal to the max, we tell it is completely charged + if self.soc >= self.soc_max: + self.flag = 1 # meaning battery object we created is fully charged + + # soc can never exceed the limit so when it is equal to the min, we tell it is completely discharged + elif self.soc <= self.soc_min: + self.flag = -1 + + # if the soc is between the min and max values, it is ready to be discharged or charged as per the situation + else: + self.flag = 0 # meaning it is available to operate. + + # here we are sending the current state of the battery + re_params={'p_out': 0, + # 'energy_drain': 0, + # 'energy_consumed': 0, + 'p_in': 0, + 'soc': self.soc, + 'mod': 0, + 'flag': self.flag} + else: + # if the p_ask is a -ve value, it means battery needs to discharge. + if flow2b < 0: #discharge + + # Can the battery discharge or not depends on the current state of the battery for which we call the + # method discharge_battery. If the p_ask < 0 condition is met, the program directly goes the method. + re_params = self.discharge_battery(flow2b) + + # other option is for p_ask to be > 0 which means we need to charge. + else: + + # Can the battery charge depends on the current state of the battery for which we call the + # method charge_battery. If the p_ask > 0 condition is met, the program directly goes the method. + re_params = self.charge_battery(flow2b) + + + return re_params + # conditions end + +# if __name__=='__main__': +# initial_set={'initial_soc':50} +# Battery_set = {'max_p': 2, 'min_p': -2, 'max_energy': 10, +# 'charge_efficiency': 0.9, 'discharge_efficiency': 0.9, +# 'soc_min': 10, 'soc_max': 90, 'flag': 0, 'resolution': 15} +# +# +# #max_p,min_p,max_energy,charge_efficiency,discharge_efficiency +# #soc_min,soc_max,flag, resolution +# Model=BatteryModel(initial_set,Battery_set) +# Model.charge_battery(0.1) +# Model.discharge_battery(-0.1) +# Model.output_power(0.1,95) +# Model.output_power(-0.1,95) + + + + + + + diff --git a/Models/Battery/battery_mosaik.py b/src/illuminator/models/Battery/battery_mosaik.py similarity index 97% rename from Models/Battery/battery_mosaik.py rename to src/illuminator/models/Battery/battery_mosaik.py index 5d9b78d..6740b9d 100644 --- a/Models/Battery/battery_mosaik.py +++ b/src/illuminator/models/Battery/battery_mosaik.py @@ -1,179 +1,179 @@ -# only can build one battery model -import mosaik.scheduler -import mosaik_api -try: - import Models.Battery.battery_model as batterymodelset -except ModuleNotFoundError: - import battery_model as batterymodelset -else: - import Models.Battery.battery_model as batterymodelset -import pandas as pd - -#todo: convert this battery model simAPI to a controller api. This becomes a mosaik API to start the battery and the electrolyser. -# A condition checks the battery SOC and then initiates the electrolyser. - -meta = { - 'type': 'hybrid', - 'models': { - 'Batteryset': { - 'public': True, - 'params': [ - # these are the parameters which we defined in the __init__() of the python file - 'initial_set', # initial_soc - 'battery_set', # max_p,min_p,max_energy,charge_efficiency,discharge_efficiency, soc_min,soc_max - 'sim_start', # this is an additional parameter we are passing. - - ], - 'attrs': [ # anything followed by self. in the python file is an attribute. We can have new ones too. - 'battery_id', # new attribute we provide here for the first time. - # 'p_ask', # present in python file. - 'flow2b', - 'p_out', # in the python file this existed in the re_params. - # re_params returns values from the python file, so we need to have it here so that mosaik - # can connect them and allow data flow. - 'p_in', - 'soc', # present in python file. - 'mod', # 0:no action, 1:charge, -1:discharge # in the python file this existed in the re_params. - # re_params returns values from the python file, so we need to have it here so that mosaik - # can connect them and allow data flow. - 'flag', # present in the python file. - 'time', - 'energy_drain', - 'energy_consumed', - ], - 'trigger': [], #'flag2b' if we want async behaviour - }, - }, -} - - -class BatteryholdSim(mosaik_api.Simulator): # this is the main class that is running in Mosaik. - def __init__(self): - super().__init__(meta) # through this command we are passing more information about the model to the subclass we have created under the main - # class - simulator - - # all these attributes are being stored in the common data flow reference model of Mosaik - self.entities = {} # we store the model entity of our technology model - self.eid_prefix = 'Battery_' # every entity that we create will start with 'Battery_ - self._cache = {} - self._data_next = {} - self.soc = {} - self.flag = {} - self.test = [] - self.pflag = [] - - - - # this command runs only once when the simulation starts from the scenario file - def init(self, sid, time_resolution,step_size=900 ): # sid and time_resolution are the positional arguments. Rest all we want to put will be keyword argument - self.sid = sid - self.time_resolution = time_resolution - self.step_size = step_size - return self.meta - - def create(self, num, model, initial_set, battery_set, sim_start): - self.start = pd.to_datetime(sim_start) - # next_eid=len(self.model) - self._entities = [] - - # for i in range(next_eid,next_eid+num): - - # num is the number of models of battery we want. - for i in range(num): - # we provide an ID to each entity we create. %s%d will be replaced by the values of eid_prefix and i - self.eid = '%s%d' % (self.eid_prefix, i) - - # new instance of the battery is created - # batterymodelset is the name we gave to the model (the battery python model) while importing it - # BatteryModel is the class present in the model (the battery python model) - # initial_set and battery_set are the parameters we want our battery_instance to have - battery_instance = batterymodelset.BatteryModel(initial_set, battery_set) - # self.model is an empty dictionary which will hold the entities we create. So sor every eid_b, the - # self.model dictionary will hold a corresponding battery_instance ! - self.entities[self.eid] = battery_instance - # self.battery_set[eid_b]=battery_set - # self.battery_initial[eid_b]=initial_set - - # for every eid_b, we want to communicate the initial soc, and hence for every eid_b, we store the soc value. - self.soc[self.eid] = initial_set['initial_soc'] - self.flag[self.eid] = battery_set['flag'] - self._cache[self.eid] = {'soc': self.soc[self.eid], 'flag': self.flag[self.eid], 'p_out': 0, 'p_in' : 0, 'mod' : 0} - # self.battery_flag={} - - # the empty entities list will hold the following information. - self._entities.append({'eid': self.eid, 'type': model, 'rel': [], }) - # print(self._entities) - - return self._entities - -# the step method tells the Mosaik when to initiate the next step and perform the calculations and repeat all the process again. - # for the input, we need the values coming from another mosaik file. which means that file's output is our input. - # the input has to be of a specific format. - def step(self, time, inputs, max_advance): - self.time = time - current_time = (self.start + pd.Timedelta(time * self.time_resolution, unit='seconds')) - print('from battery %%%%%%%%', current_time) - for eid, attrs in inputs.items(): #raghav: In this model, the input should come from the controller p_ask - # print(eid) - # print(attrs) - - for attr, vals in attrs.items(): - if attr == 'flow2b': - self._cache[eid] = self.entities[eid].output_power(sum(vals.values()), self.soc[eid]) - - # self._cache[eid] = self.entities[eid].output_power(energy_ask, self.soc[eid]) # * max_advance if trigger - - # print(self._cache[eid]) - # [p_out:,soc:,flag:] - self.soc[eid] = self._cache[eid]['soc'] - self.flag = self._cache[eid]['flag'] - check = list(self.soc.values()) - check2 = check[0] # this is so that the value that battery sends is dictionary and not a dictionary of a dictionary. - # out = yield self.mosaik.set_data({'Battery-0': {'Controller-0.ctrl_0': {'soc': check2}}}) # this code is supposed to hold the soc value and - - - return None - -# this method is used to get the specific values we want and write them in a new file. - def get_data(self, outputs): - data = {} -# # self.test.append(self.flag) # if we do this code, then we end up with a list which increases with each step. Duh! -# # try: -# # # the following code takes the vale at -2 position in the list. The -2 vale of the list represents the value of the previous step -# # self.pflag = self.test[-2] # first python tries this line of code. If it doesnt work then it follows the code in except. -# # except: -# # self.pflag = self.flag -# - for eid, attrs in outputs.items(): - model = self.entities[eid] - # data['time'] = self.time - data[eid] = {} - for attr in attrs: - # data[eid][attr] = getattr(model, attr) # this line of a code is short form for the following code which is commented out - if attr == 'p_out': - data[eid][attr] = self._cache[eid]['p_out'] - elif attr == 'soc': - data[eid][attr] = self._cache[eid]['soc'] - elif attr == 'mod': - data[eid][attr] = self._cache[eid]['mod'] - elif attr == 'battery_id': - data[eid][attr] = eid - elif attr == 'flag': - data[eid][attr] = self._cache[eid]['flag'] - elif attr == 'p_in': - data[eid][attr] = self._cache[eid]['p_in'] - # elif attr == 'energy_consumed': - # data[eid][attr] = self._cache[eid]['energy_consumed'] - # elif attr == 'energy_drain': - # data[eid][attr] = self._cache[eid]['energy_drain'] - # if eid in self._cache: - - - return data - - -def main(): - mosaik_api.start_simulation(BatteryholdSim(), 'Battery-Simulator') - -if __name__ == "__main__": - main() +# only can build one battery model +import mosaik.scheduler +import mosaik_api +try: + import Models.Battery.battery_model as batterymodelset +except ModuleNotFoundError: + import battery_model as batterymodelset +else: + import Models.Battery.battery_model as batterymodelset +import pandas as pd + +#todo: convert this battery model simAPI to a controller api. This becomes a mosaik API to start the battery and the electrolyser. +# A condition checks the battery SOC and then initiates the electrolyser. + +meta = { + 'type': 'hybrid', + 'models': { + 'Batteryset': { + 'public': True, + 'params': [ + # these are the parameters which we defined in the __init__() of the python file + 'initial_set', # initial_soc + 'battery_set', # max_p,min_p,max_energy,charge_efficiency,discharge_efficiency, soc_min,soc_max + 'sim_start', # this is an additional parameter we are passing. + + ], + 'attrs': [ # anything followed by self. in the python file is an attribute. We can have new ones too. + 'battery_id', # new attribute we provide here for the first time. + # 'p_ask', # present in python file. + 'flow2b', + 'p_out', # in the python file this existed in the re_params. + # re_params returns values from the python file, so we need to have it here so that mosaik + # can connect them and allow data flow. + 'p_in', + 'soc', # present in python file. + 'mod', # 0:no action, 1:charge, -1:discharge # in the python file this existed in the re_params. + # re_params returns values from the python file, so we need to have it here so that mosaik + # can connect them and allow data flow. + 'flag', # present in the python file. + 'time', + 'energy_drain', + 'energy_consumed', + ], + 'trigger': [], #'flag2b' if we want async behaviour + }, + }, +} + + +class BatteryholdSim(mosaik_api.Simulator): # this is the main class that is running in Mosaik. + def __init__(self): + super().__init__(meta) # through this command we are passing more information about the model to the subclass we have created under the main + # class - simulator + + # all these attributes are being stored in the common data flow reference model of Mosaik + self.entities = {} # we store the model entity of our technology model + self.eid_prefix = 'Battery_' # every entity that we create will start with 'Battery_ + self._cache = {} + self._data_next = {} + self.soc = {} + self.flag = {} + self.test = [] + self.pflag = [] + + + + # this command runs only once when the simulation starts from the scenario file + def init(self, sid, time_resolution,step_size=900 ): # sid and time_resolution are the positional arguments. Rest all we want to put will be keyword argument + self.sid = sid + self.time_resolution = time_resolution + self.step_size = step_size + return self.meta + + def create(self, num, model, initial_set, battery_set, sim_start): + self.start = pd.to_datetime(sim_start) + # next_eid=len(self.model) + self._entities = [] + + # for i in range(next_eid,next_eid+num): + + # num is the number of models of battery we want. + for i in range(num): + # we provide an ID to each entity we create. %s%d will be replaced by the values of eid_prefix and i + self.eid = '%s%d' % (self.eid_prefix, i) + + # new instance of the battery is created + # batterymodelset is the name we gave to the model (the battery python model) while importing it + # BatteryModel is the class present in the model (the battery python model) + # initial_set and battery_set are the parameters we want our battery_instance to have + battery_instance = batterymodelset.BatteryModel(initial_set, battery_set) + # self.model is an empty dictionary which will hold the entities we create. So sor every eid_b, the + # self.model dictionary will hold a corresponding battery_instance ! + self.entities[self.eid] = battery_instance + # self.battery_set[eid_b]=battery_set + # self.battery_initial[eid_b]=initial_set + + # for every eid_b, we want to communicate the initial soc, and hence for every eid_b, we store the soc value. + self.soc[self.eid] = initial_set['initial_soc'] + self.flag[self.eid] = battery_set['flag'] + self._cache[self.eid] = {'soc': self.soc[self.eid], 'flag': self.flag[self.eid], 'p_out': 0, 'p_in' : 0, 'mod' : 0} + # self.battery_flag={} + + # the empty entities list will hold the following information. + self._entities.append({'eid': self.eid, 'type': model, 'rel': [], }) + # print(self._entities) + + return self._entities + +# the step method tells the Mosaik when to initiate the next step and perform the calculations and repeat all the process again. + # for the input, we need the values coming from another mosaik file. which means that file's output is our input. + # the input has to be of a specific format. + def step(self, time, inputs, max_advance): + self.time = time + current_time = (self.start + pd.Timedelta(time * self.time_resolution, unit='seconds')) + print('from battery %%%%%%%%', current_time) + for eid, attrs in inputs.items(): #raghav: In this model, the input should come from the controller p_ask + # print(eid) + # print(attrs) + + for attr, vals in attrs.items(): + if attr == 'flow2b': + self._cache[eid] = self.entities[eid].output_power(sum(vals.values()), self.soc[eid]) + + # self._cache[eid] = self.entities[eid].output_power(energy_ask, self.soc[eid]) # * max_advance if trigger + + # print(self._cache[eid]) + # [p_out:,soc:,flag:] + self.soc[eid] = self._cache[eid]['soc'] + self.flag = self._cache[eid]['flag'] + check = list(self.soc.values()) + check2 = check[0] # this is so that the value that battery sends is dictionary and not a dictionary of a dictionary. + # out = yield self.mosaik.set_data({'Battery-0': {'Controller-0.ctrl_0': {'soc': check2}}}) # this code is supposed to hold the soc value and + + + return None + +# this method is used to get the specific values we want and write them in a new file. + def get_data(self, outputs): + data = {} +# # self.test.append(self.flag) # if we do this code, then we end up with a list which increases with each step. Duh! +# # try: +# # # the following code takes the vale at -2 position in the list. The -2 vale of the list represents the value of the previous step +# # self.pflag = self.test[-2] # first python tries this line of code. If it doesnt work then it follows the code in except. +# # except: +# # self.pflag = self.flag +# + for eid, attrs in outputs.items(): + model = self.entities[eid] + # data['time'] = self.time + data[eid] = {} + for attr in attrs: + # data[eid][attr] = getattr(model, attr) # this line of a code is short form for the following code which is commented out + if attr == 'p_out': + data[eid][attr] = self._cache[eid]['p_out'] + elif attr == 'soc': + data[eid][attr] = self._cache[eid]['soc'] + elif attr == 'mod': + data[eid][attr] = self._cache[eid]['mod'] + elif attr == 'battery_id': + data[eid][attr] = eid + elif attr == 'flag': + data[eid][attr] = self._cache[eid]['flag'] + elif attr == 'p_in': + data[eid][attr] = self._cache[eid]['p_in'] + # elif attr == 'energy_consumed': + # data[eid][attr] = self._cache[eid]['energy_consumed'] + # elif attr == 'energy_drain': + # data[eid][attr] = self._cache[eid]['energy_drain'] + # if eid in self._cache: + + + return data + + +def main(): + mosaik_api.start_simulation(BatteryholdSim(), 'Battery-Simulator') + +if __name__ == "__main__": + main() diff --git a/Models/Controller/__init__.py b/src/illuminator/models/Controller/__init__.py similarity index 100% rename from Models/Controller/__init__.py rename to src/illuminator/models/Controller/__init__.py diff --git a/Models/Controller/controller_model.py b/src/illuminator/models/Controller/controller_model.py similarity index 97% rename from Models/Controller/controller_model.py rename to src/illuminator/models/Controller/controller_model.py index a207474..15f18c4 100644 --- a/Models/Controller/controller_model.py +++ b/src/illuminator/models/Controller/controller_model.py @@ -1,53 +1,53 @@ - -class controller_python: - def __init__(self, soc_min, soc_max, h2_soc_min, h2_soc_max, fc_eff): - self.soc_max_b = soc_max - self.soc_min_b = soc_min - self.soc_max_h2 = h2_soc_max - self.soc_min_h2 = h2_soc_min - self.fc_eff = fc_eff - - self.dump = 0 - self.flow_b = 0 - self.flow_e = 0 - self.fc_out = 0 - - def control(self, wind_gen, pv_gen, load_dem, soc, h2_soc):#, fc_gen): - # def control(self,soc , pv_gen, load_dem, wind_gen): - - self.soc_b = soc - self.soc_h = h2_soc - flow = wind_gen + pv_gen - load_dem # kW - - if flow < 0: # means that the demand is not completely met and we need support from battery and fuel cell - if self.soc_b > self.soc_min_b: # checking if soc is above minimum. It can be == to soc_max as well. - self.flow_b = flow - self.flow_e = 0 - self.h_out = 0 - - elif self.soc_b <= self.soc_min_b: - self.flow_b = 0 - q = 39.4 - self.h_out = (flow / q) / self.fc_eff - - print('Battery Discharged') - - - elif flow > 0: # means we have over generation and we want to utilize it for charging battery and storing hydrogen - if self.soc_b < self.soc_max_b: - self.flow_b = flow - self.flow_e = 0 - self.h_out = 0 - elif self.soc_b == self.soc_max_b: - self.flow_b = 0 - if self.soc_h < self.soc_max_h2: - self.flow_e = flow - self.dump = 0 - self.h_out = 0 - elif self.soc_h == self.soc_max_h2: - self.flow_e = 0 - self.dump = flow - self.h_out = 0 - - re_params = {'flow2b': self.flow_b, 'flow2e': self.flow_e, 'dump': self.dump, 'h2_out':self.h_out} - return re_params + +class controller_python: + def __init__(self, soc_min, soc_max, h2_soc_min, h2_soc_max, fc_eff): + self.soc_max_b = soc_max + self.soc_min_b = soc_min + self.soc_max_h2 = h2_soc_max + self.soc_min_h2 = h2_soc_min + self.fc_eff = fc_eff + + self.dump = 0 + self.flow_b = 0 + self.flow_e = 0 + self.fc_out = 0 + + def control(self, wind_gen, pv_gen, load_dem, soc, h2_soc):#, fc_gen): + # def control(self,soc , pv_gen, load_dem, wind_gen): + + self.soc_b = soc + self.soc_h = h2_soc + flow = wind_gen + pv_gen - load_dem # kW + + if flow < 0: # means that the demand is not completely met and we need support from battery and fuel cell + if self.soc_b > self.soc_min_b: # checking if soc is above minimum. It can be == to soc_max as well. + self.flow_b = flow + self.flow_e = 0 + self.h_out = 0 + + elif self.soc_b <= self.soc_min_b: + self.flow_b = 0 + q = 39.4 + self.h_out = (flow / q) / self.fc_eff + + print('Battery Discharged') + + + elif flow > 0: # means we have over generation and we want to utilize it for charging battery and storing hydrogen + if self.soc_b < self.soc_max_b: + self.flow_b = flow + self.flow_e = 0 + self.h_out = 0 + elif self.soc_b == self.soc_max_b: + self.flow_b = 0 + if self.soc_h < self.soc_max_h2: + self.flow_e = flow + self.dump = 0 + self.h_out = 0 + elif self.soc_h == self.soc_max_h2: + self.flow_e = 0 + self.dump = flow + self.h_out = 0 + + re_params = {'flow2b': self.flow_b, 'flow2e': self.flow_e, 'dump': self.dump, 'h2_out':self.h_out} + return re_params diff --git a/Models/Controller/controller_mosaik.py b/src/illuminator/models/Controller/controller_mosaik.py similarity index 97% rename from Models/Controller/controller_mosaik.py rename to src/illuminator/models/Controller/controller_mosaik.py index 59ddc85..35598cf 100644 --- a/Models/Controller/controller_mosaik.py +++ b/src/illuminator/models/Controller/controller_mosaik.py @@ -1,147 +1,147 @@ -import mosaik_api -import pandas as pd -#import Controller.controller_model as controller_model -try: - import Models.Controller.controller_model as controller_model -except ModuleNotFoundError: - import controller_model as controller_model -else: - import Models.Controller.controller_model as controller_model -#import Battery.model as batterymodel -import sys -sys.path.insert(1, '/home/illuminator/Desktop/Final_illuminator') - -try: - import Models.Battery.battery_model as batterymodel -except ModuleNotFoundError: - import battery_model as batterymodel -else: - import Models.Battery.battery_model as batterymodel - -import itertools -META = { - 'type': 'event-based', - # wind is an event based event because the event here is a wind speed. It doesnt purely run because of time interval, I think. - # if I put it to time-based, there is type error: - # File "C:\Users\ragha\AppData\Local\Programs\Python\Python310\lib\site-packages\mosaik\scheduler.py", line 405, in step - # sim.progress_tmp = next_step - 1 - # TypeError: unsupported operand type(s) for -: 'NoneType' and 'int' - - 'models': { - 'Ctrl': { - 'public': True, - 'params': ['sim_start', 'soc_min', 'soc_max', 'h2_soc_min', 'h2_soc_max', 'fc_eff'], - 'attrs': ['controller_id', 'flow2e', 'flow2b', 'wind_gen', 'load_dem', 'pv_gen', 'soc', 'h2_soc', 'dump', 'h2_out', - ], - 'trigger': [], - }, - }, -} - - -class controlSim(mosaik_api.Simulator): - def __init__(self): - super().__init__(META) - self.eid_prefix = 'ctrl_' # every entity that we create will start with 'wind_' - self.entities = {} # we store the model entity of our technology model - self._cache = {} # used in the step function to store the values after running the python model of the technology - self.soc_max = {} - self.temp = 0 - self.h2fc = {} - # self.start_date = None - - # the following API call is will be called only once when we initiate the model in the scenario file. - # we can use this to pass additional initialization tasks - - def init(self, sid, time_resolution, step_size=1): - self.step_size = step_size - self.sid = sid - # print('hi, you have entered init') # working (20220524) - self.time_resolution = time_resolution - # print('Exited init os SimAPI') # working (20220524) - return self.meta - - def create(self, num, model, sim_start, **model_params): - # print('hi, you have entered create of SimAPI') # working (20220524) - self.start = pd.to_datetime(sim_start) - # print(type(self.entities)) - # next_eid = len(self.entities) - # print('from create of SimAPI:', next_eid) - self._entities = [] - # print(next_eid) # working (20220524) - - for i in range(num): - eid = '%s%d' % (self.eid_prefix, i) - model_instance = controller_model.controller_python(**model_params) #1 - self.entities[eid] = model_instance #2 - # print(self.entities) - # self.soc_max[eid] = soc_max - self._entities.append({'eid': eid, 'type': model}) - return self._entities - - def step(self, time, inputs, max_advance): - # inputs is a dictionary, which contains another dictionary. - # print(inputs) - current_time = (self.start + - pd.Timedelta(time * self.time_resolution, - unit='seconds')) # timedelta represents a duration of time - print('from controller %%%%%%%%%', current_time) - _cache = {} - u = [] - for eid, attrs in inputs.items(): - # print('#eid: ', eid) - print('#attrs: ', attrs) - w = 0 - p = 0 - l = 0 - for attr, vals in attrs.items(): - #print('#attr: ', attr) - # print('#vals: ', vals) - - # s=0 - # h=0 - ################################### - if attr == 'wind_gen': - w = sum(vals.values()) - elif attr == 'pv_gen': - p = sum(vals.values()) - elif attr == 'load_dem': - l = sum(vals.values()) - elif attr == 'soc': - s = list(vals.values())[0] - elif attr == 'h2_soc': - h = list(vals.values())[0] - try: - _cache[eid] = self.entities[eid].control(w, p, l, s, h) - except: - - s = 50 - h = 0 - _cache[eid] = self.entities[eid].control(w, p, l, s, h) - self._cache = _cache - print(w,p,l,s,h) - return None - - def get_data(self, outputs): - data = {} - for eid, attrs in outputs.items(): - # model = self.entities[eid] - # data['time'] = self.time - data[eid] = {} - for attr in attrs: - # if we want more values to print in the output file, mimic the below for new attributes and make sure - # those parameters are present in the re_params in the python file of the technology - if attr == 'flow2b': # e2b = energy to battery - data[eid][attr] = self._cache[eid]['flow2b'] - elif attr == 'flow2e': # flow2e = energy to electrolyser - data[eid][attr] = self._cache[eid]['flow2e'] - elif attr == 'dump': - data[eid][attr] = self._cache[eid]['dump'] - elif attr == 'h2_out': - data[eid][attr] = self._cache[eid]['h2_out'] - # print(data) - return data -def main(): - mosaik_api.start_simulation(controlSim(), 'Controller-Illuminator') -if __name__ == '__main__': - main() +import mosaik_api +import pandas as pd +#import Controller.controller_model as controller_model +try: + import Models.Controller.controller_model as controller_model +except ModuleNotFoundError: + import controller_model as controller_model +else: + import Models.Controller.controller_model as controller_model +#import Battery.model as batterymodel +import sys +sys.path.insert(1, '/home/illuminator/Desktop/Final_illuminator') + +try: + import Models.Battery.battery_model as batterymodel +except ModuleNotFoundError: + import battery_model as batterymodel +else: + import Models.Battery.battery_model as batterymodel + +import itertools +META = { + 'type': 'event-based', + # wind is an event based event because the event here is a wind speed. It doesnt purely run because of time interval, I think. + # if I put it to time-based, there is type error: + # File "C:\Users\ragha\AppData\Local\Programs\Python\Python310\lib\site-packages\mosaik\scheduler.py", line 405, in step + # sim.progress_tmp = next_step - 1 + # TypeError: unsupported operand type(s) for -: 'NoneType' and 'int' + + 'models': { + 'Ctrl': { + 'public': True, + 'params': ['sim_start', 'soc_min', 'soc_max', 'h2_soc_min', 'h2_soc_max', 'fc_eff'], + 'attrs': ['controller_id', 'flow2e', 'flow2b', 'wind_gen', 'load_dem', 'pv_gen', 'soc', 'h2_soc', 'dump', 'h2_out', + ], + 'trigger': [], + }, + }, +} + + +class controlSim(mosaik_api.Simulator): + def __init__(self): + super().__init__(META) + self.eid_prefix = 'ctrl_' # every entity that we create will start with 'wind_' + self.entities = {} # we store the model entity of our technology model + self._cache = {} # used in the step function to store the values after running the python model of the technology + self.soc_max = {} + self.temp = 0 + self.h2fc = {} + # self.start_date = None + + # the following API call is will be called only once when we initiate the model in the scenario file. + # we can use this to pass additional initialization tasks + + def init(self, sid, time_resolution, step_size=1): + self.step_size = step_size + self.sid = sid + # print('hi, you have entered init') # working (20220524) + self.time_resolution = time_resolution + # print('Exited init os SimAPI') # working (20220524) + return self.meta + + def create(self, num, model, sim_start, **model_params): + # print('hi, you have entered create of SimAPI') # working (20220524) + self.start = pd.to_datetime(sim_start) + # print(type(self.entities)) + # next_eid = len(self.entities) + # print('from create of SimAPI:', next_eid) + self._entities = [] + # print(next_eid) # working (20220524) + + for i in range(num): + eid = '%s%d' % (self.eid_prefix, i) + model_instance = controller_model.controller_python(**model_params) #1 + self.entities[eid] = model_instance #2 + # print(self.entities) + # self.soc_max[eid] = soc_max + self._entities.append({'eid': eid, 'type': model}) + return self._entities + + def step(self, time, inputs, max_advance): + # inputs is a dictionary, which contains another dictionary. + # print(inputs) + current_time = (self.start + + pd.Timedelta(time * self.time_resolution, + unit='seconds')) # timedelta represents a duration of time + print('from controller %%%%%%%%%', current_time) + _cache = {} + u = [] + for eid, attrs in inputs.items(): + # print('#eid: ', eid) + print('#attrs: ', attrs) + w = 0 + p = 0 + l = 0 + for attr, vals in attrs.items(): + #print('#attr: ', attr) + # print('#vals: ', vals) + + # s=0 + # h=0 + ################################### + if attr == 'wind_gen': + w = sum(vals.values()) + elif attr == 'pv_gen': + p = sum(vals.values()) + elif attr == 'load_dem': + l = sum(vals.values()) + elif attr == 'soc': + s = list(vals.values())[0] + elif attr == 'h2_soc': + h = list(vals.values())[0] + try: + _cache[eid] = self.entities[eid].control(w, p, l, s, h) + except: + + s = 50 + h = 0 + _cache[eid] = self.entities[eid].control(w, p, l, s, h) + self._cache = _cache + print(w,p,l,s,h) + return None + + def get_data(self, outputs): + data = {} + for eid, attrs in outputs.items(): + # model = self.entities[eid] + # data['time'] = self.time + data[eid] = {} + for attr in attrs: + # if we want more values to print in the output file, mimic the below for new attributes and make sure + # those parameters are present in the re_params in the python file of the technology + if attr == 'flow2b': # e2b = energy to battery + data[eid][attr] = self._cache[eid]['flow2b'] + elif attr == 'flow2e': # flow2e = energy to electrolyser + data[eid][attr] = self._cache[eid]['flow2e'] + elif attr == 'dump': + data[eid][attr] = self._cache[eid]['dump'] + elif attr == 'h2_out': + data[eid][attr] = self._cache[eid]['h2_out'] + # print(data) + return data +def main(): + mosaik_api.start_simulation(controlSim(), 'Controller-Illuminator') +if __name__ == '__main__': + main() diff --git a/Models/Eboiler/__init__.py b/src/illuminator/models/Eboiler/__init__.py similarity index 100% rename from Models/Eboiler/__init__.py rename to src/illuminator/models/Eboiler/__init__.py diff --git a/Models/Eboiler/eboiler_model.py b/src/illuminator/models/Eboiler/eboiler_model.py similarity index 97% rename from Models/Eboiler/eboiler_model.py rename to src/illuminator/models/Eboiler/eboiler_model.py index 054d2c8..0c975f0 100644 --- a/Models/Eboiler/eboiler_model.py +++ b/src/illuminator/models/Eboiler/eboiler_model.py @@ -1,55 +1,55 @@ -class eboiler_python: - """A class representing an electric boiler.""" - - def __init__(self, eboiler_set): - """ - Initializes the EBoilerPython instance with the given settings. - - Parameters: - eboiler_set (dict): A dictionary containing the boiler settings. - """ - self.capacity = eboiler_set['capacity'] # Capacity of the boiler in kW, converting to W - self.min_load = eboiler_set['min_load'] # Minimum load in kW, converting to W - self.max_load = eboiler_set['max_load'] # Maximum load in kW, converting to W - self.standby_loss = eboiler_set['standby_loss'] # Standby loss as a fraction of the capacity - self.efficiency = eboiler_set['efficiency'] # Efficiency under maximum load - self.resolution = eboiler_set['resolution'] # Resolution of the system - - def demand(self, eboiler_dem): - """ - Calculates the demand of the electric boiler based on the input demand and heat source temperature. - - Parameters: - inputs (dict): A dictionary with keys 'Q_Demand' (heat demand in W) and 'heat_source_T' (temperature in °C). - - Returns: - dict: A dictionary containing the heat supplied and electricity consumed. - """ - Q_Demand = eboiler_dem - #heat_source_T = inputs['heat_source_T'] - - # Convert Q_Demand from W to kW for calculations - Q_Demand_kW = Q_Demand #/ 1000.0 - standby_loss = self.standby_loss * self.capacity # Standby loss in kW - power_require = (Q_Demand_kW+standby_loss)/self.efficiency - - # Check if the electricity input is within the operation limits - if power_require < self.min_load: - electricity_input = 0 - elif power_require > self.max_load: - electricity_input = self.max_load - else: - electricity_input = power_require - - - # Calculate the heat supplied in kW (considering standby loss) and convert it back to W - Q_supply = (electricity_input - standby_loss) * self.efficiency*1000 # Converting from kW to W - - return { - 'eboiler_dem':eboiler_dem, - #'heat_source_T':heat_source_T, - 'q_gen': Q_supply, - 'e_consumed': electricity_input * 1000, # Converting from kW to W - 'standby_loss':standby_loss * 1000 - } - +class eboiler_python: + """A class representing an electric boiler.""" + + def __init__(self, eboiler_set): + """ + Initializes the EBoilerPython instance with the given settings. + + Parameters: + eboiler_set (dict): A dictionary containing the boiler settings. + """ + self.capacity = eboiler_set['capacity'] # Capacity of the boiler in kW, converting to W + self.min_load = eboiler_set['min_load'] # Minimum load in kW, converting to W + self.max_load = eboiler_set['max_load'] # Maximum load in kW, converting to W + self.standby_loss = eboiler_set['standby_loss'] # Standby loss as a fraction of the capacity + self.efficiency = eboiler_set['efficiency'] # Efficiency under maximum load + self.resolution = eboiler_set['resolution'] # Resolution of the system + + def demand(self, eboiler_dem): + """ + Calculates the demand of the electric boiler based on the input demand and heat source temperature. + + Parameters: + inputs (dict): A dictionary with keys 'Q_Demand' (heat demand in W) and 'heat_source_T' (temperature in °C). + + Returns: + dict: A dictionary containing the heat supplied and electricity consumed. + """ + Q_Demand = eboiler_dem + #heat_source_T = inputs['heat_source_T'] + + # Convert Q_Demand from W to kW for calculations + Q_Demand_kW = Q_Demand #/ 1000.0 + standby_loss = self.standby_loss * self.capacity # Standby loss in kW + power_require = (Q_Demand_kW+standby_loss)/self.efficiency + + # Check if the electricity input is within the operation limits + if power_require < self.min_load: + electricity_input = 0 + elif power_require > self.max_load: + electricity_input = self.max_load + else: + electricity_input = power_require + + + # Calculate the heat supplied in kW (considering standby loss) and convert it back to W + Q_supply = (electricity_input - standby_loss) * self.efficiency*1000 # Converting from kW to W + + return { + 'eboiler_dem':eboiler_dem, + #'heat_source_T':heat_source_T, + 'q_gen': Q_supply, + 'e_consumed': electricity_input * 1000, # Converting from kW to W + 'standby_loss':standby_loss * 1000 + } + diff --git a/Models/Eboiler/eboiler_model_old.py b/src/illuminator/models/Eboiler/eboiler_model_old.py similarity index 100% rename from Models/Eboiler/eboiler_model_old.py rename to src/illuminator/models/Eboiler/eboiler_model_old.py diff --git a/Models/Eboiler/eboiler_mosaik.py b/src/illuminator/models/Eboiler/eboiler_mosaik.py similarity index 100% rename from Models/Eboiler/eboiler_mosaik.py rename to src/illuminator/models/Eboiler/eboiler_mosaik.py diff --git a/Models/EleDisNetworkSim/model.py b/src/illuminator/models/EleDisNetworkSim/model.py similarity index 100% rename from Models/EleDisNetworkSim/model.py rename to src/illuminator/models/EleDisNetworkSim/model.py diff --git a/Models/EleDisNetworkSim/network.py b/src/illuminator/models/EleDisNetworkSim/network.py similarity index 98% rename from Models/EleDisNetworkSim/network.py rename to src/illuminator/models/EleDisNetworkSim/network.py index 4c4827f..c44546e 100644 --- a/Models/EleDisNetworkSim/network.py +++ b/src/illuminator/models/EleDisNetworkSim/network.py @@ -1,150 +1,150 @@ -import pandapower as pp - -from pandas import read_json -def create_cigre_lv_resident(): - """ - Create the CIGRE LV Grid from final Report of Task Force C6.04.02: - "Benchmark Systems for Network Integration of Renewable and Distributed Energy Resources”, 2014. - OUTPUT: - **net** - The pandapower format network. - """ - net_cigre_lv = pp.create_empty_network() - - # Linedata - # UG1 - line_data = {'c_nf_per_km': 0.0, 'r_ohm_per_km': 0.162, - 'x_ohm_per_km': 0.0832, 'max_i_ka': 1.0, - 'type': 'cs'} - pp.create_std_type(net_cigre_lv, line_data, name='UG1', element='line') - - # UG3 - line_data = {'c_nf_per_km': 0.0, 'r_ohm_per_km': 0.822, - 'x_ohm_per_km': 0.0847, 'max_i_ka': 1.0, - 'type': 'cs'} - pp.create_std_type(net_cigre_lv, line_data, name='UG3', element='line') - - # OH1 - line_data = {'c_nf_per_km': 0.0, 'r_ohm_per_km': 0.4917, - 'x_ohm_per_km': 0.2847, 'max_i_ka': 1.0, - 'type': 'ol'} - pp.create_std_type(net_cigre_lv, line_data, name='OH1', element='line') - - # OH2 - line_data = {'c_nf_per_km': 0.0, 'r_ohm_per_km': 1.3207, - 'x_ohm_per_km': 0.321, 'max_i_ka': 1.0, - 'type': 'ol'} - pp.create_std_type(net_cigre_lv, line_data, name='OH2', element='line') - - # OH3 - line_data = {'c_nf_per_km': 0.0, 'r_ohm_per_km': 2.0167, - 'x_ohm_per_km': 0.3343, 'max_i_ka': 1.0, - 'type': 'ol'} - pp.create_std_type(net_cigre_lv, line_data, name='OH3', element='line') - - # Busses - bus0 = pp.create_bus(net_cigre_lv, name='Bus 0', vn_kv=20.0, type='b', zone='CIGRE_LV') - busR0 = pp.create_bus(net_cigre_lv, name='Bus R0', vn_kv=20.0, type='b', zone='CIGRE_LV') - busR1 = pp.create_bus(net_cigre_lv, name='Bus R1', vn_kv=0.4, type='b', zone='CIGRE_LV') - busR2 = pp.create_bus(net_cigre_lv, name='Bus R2', vn_kv=0.4, type='m', zone='CIGRE_LV') - busR3 = pp.create_bus(net_cigre_lv, name='Bus R3', vn_kv=0.4, type='m', zone='CIGRE_LV') - busR4 = pp.create_bus(net_cigre_lv, name='Bus R4', vn_kv=0.4, type='m', zone='CIGRE_LV') - busR5 = pp.create_bus(net_cigre_lv, name='Bus R5', vn_kv=0.4, type='m', zone='CIGRE_LV') - busR6 = pp.create_bus(net_cigre_lv, name='Bus R6', vn_kv=0.4, type='m', zone='CIGRE_LV') - busR7 = pp.create_bus(net_cigre_lv, name='Bus R7', vn_kv=0.4, type='m', zone='CIGRE_LV') - busR8 = pp.create_bus(net_cigre_lv, name='Bus R8', vn_kv=0.4, type='m', zone='CIGRE_LV') - busR9 = pp.create_bus(net_cigre_lv, name='Bus R9', vn_kv=0.4, type='m', zone='CIGRE_LV') - busR10 = pp.create_bus(net_cigre_lv, name='Bus R10', vn_kv=0.4, type='m', zone='CIGRE_LV') - busR11 = pp.create_bus(net_cigre_lv, name='Bus R11', vn_kv=0.4, type='m', zone='CIGRE_LV') - busR12 = pp.create_bus(net_cigre_lv, name='Bus R12', vn_kv=0.4, type='m', zone='CIGRE_LV') - busR13 = pp.create_bus(net_cigre_lv, name='Bus R13', vn_kv=0.4, type='m', zone='CIGRE_LV') - busR14 = pp.create_bus(net_cigre_lv, name='Bus R14', vn_kv=0.4, type='m', zone='CIGRE_LV') - busR15 = pp.create_bus(net_cigre_lv, name='Bus R15', vn_kv=0.4, type='m', zone='CIGRE_LV') - busR16 = pp.create_bus(net_cigre_lv, name='Bus R16', vn_kv=0.4, type='m', zone='CIGRE_LV') - busR17 = pp.create_bus(net_cigre_lv, name='Bus R17', vn_kv=0.4, type='m', zone='CIGRE_LV') - busR18 = pp.create_bus(net_cigre_lv, name='Bus R18', vn_kv=0.4, type='m', zone='CIGRE_LV') - - # Lines - pp.create_line(net_cigre_lv, busR1, busR2, length_km=0.035, std_type='UG1', - name='Line R1-R2') - pp.create_line(net_cigre_lv, busR2, busR3, length_km=0.035, std_type='UG1', - name='Line R2-R3') - pp.create_line(net_cigre_lv, busR3, busR4, length_km=0.035, std_type='UG1', - name='Line R3-R4') - pp.create_line(net_cigre_lv, busR4, busR5, length_km=0.035, std_type='UG1', - name='Line R4-R5') - pp.create_line(net_cigre_lv, busR5, busR6, length_km=0.035, std_type='UG1', - name='Line R5-R6') - pp.create_line(net_cigre_lv, busR6, busR7, length_km=0.035, std_type='UG1', - name='Line R6-R7') - pp.create_line(net_cigre_lv, busR7, busR8, length_km=0.035, std_type='UG1', - name='Line R7-R8') - pp.create_line(net_cigre_lv, busR8, busR9, length_km=0.035, std_type='UG1', - name='Line R8-R9') - pp.create_line(net_cigre_lv, busR9, busR10, length_km=0.035, std_type='UG1', - name='Line R9-R10') - pp.create_line(net_cigre_lv, busR3, busR11, length_km=0.030, std_type='UG3', - name='Line R3-R11') - pp.create_line(net_cigre_lv, busR4, busR12, length_km=0.035, std_type='UG3', - name='Line R4-R12') - pp.create_line(net_cigre_lv, busR12, busR13, length_km=0.035, std_type='UG3', - name='Line R12-R13') - pp.create_line(net_cigre_lv, busR13, busR14, length_km=0.035, std_type='UG3', - name='Line R13-R14') - pp.create_line(net_cigre_lv, busR14, busR15, length_km=0.030, std_type='UG3', - name='Line R14-R15') - pp.create_line(net_cigre_lv, busR6, busR16, length_km=0.030, std_type='UG3', - name='Line R6-R16') - pp.create_line(net_cigre_lv, busR9, busR17, length_km=0.030, std_type='UG3', - name='Line R9-R17') - pp.create_line(net_cigre_lv, busR10, busR18, length_km=0.030, std_type='UG3', - name='Line R10-R18') - - # Trafos - pp.create_transformer_from_parameters(net_cigre_lv, busR0, busR1, sn_mva=0.5, vn_hv_kv=20.0, - vn_lv_kv=0.4, vkr_percent=1.0, vk_percent=4.123106, - pfe_kw=0.0, i0_percent=0.0, shift_degree=30.0, - tap_neutral=0,tap_max=5,tap_min=-5,tap_step_percent=1.0, - tap_pos=0, name='Trafo R0-R1') - - # External grid - pp.create_ext_grid(net_cigre_lv, bus0, vm_pu=1.0, va_degree=0.0, s_sc_max_mva=100.0, - s_sc_min_mva=100.0, rx_max=1.0, rx_min=1.0) - - # Loads - pp.create_load(net_cigre_lv, busR1, p_mw=0.02, q_mvar=0.00019, name='Load R1') - pp.create_load(net_cigre_lv, busR2, p_mw=0.02, q_mvar=0.00019, name='Load R2') - pp.create_load(net_cigre_lv, busR3, p_mw=0.02, q_mvar=0.00019, name='Load R3') - pp.create_load(net_cigre_lv, busR4, p_mw=0.02, q_mvar=0.00019, name='Load R4') - pp.create_load(net_cigre_lv, busR5, p_mw=0.02, q_mvar=0.00019, name='Load R5') - pp.create_load(net_cigre_lv, busR6, p_mw=0.02, q_mvar=0.00019, name='Load R6') - pp.create_load(net_cigre_lv, busR7, p_mw=0.02, q_mvar=0.00019, name='Load R7') - pp.create_load(net_cigre_lv, busR8, p_mw=0.02, q_mvar=0.00019, name='Load R8') - pp.create_load(net_cigre_lv, busR9, p_mw=0.02, q_mvar=0.00019, name='Load R9') - pp.create_load(net_cigre_lv, busR10, p_mw=0.02, q_mvar=0.00019, name='Load R10') - pp.create_load(net_cigre_lv, busR11, p_mw=0.02, q_mvar=0.00019, name='Load R11') - pp.create_load(net_cigre_lv, busR12, p_mw=0.02, q_mvar=0.00019, name='Load R12') - pp.create_load(net_cigre_lv, busR13, p_mw=0.02, q_mvar=0.00019, name='Load R13') - pp.create_load(net_cigre_lv, busR14, p_mw=0.02, q_mvar=0.00019, name='Load R14') - pp.create_load(net_cigre_lv, busR15, p_mw=0.02, q_mvar=0.00019, name='Load R15') - pp.create_load(net_cigre_lv, busR16, p_mw=0.02, q_mvar=0.00019, name='Load R16') - pp.create_load(net_cigre_lv, busR17, p_mw=0.02, q_mvar=0.00019, name='Load R17') - pp.create_load(net_cigre_lv, busR18, p_mw=0.02, q_mvar=0.00019, name='Load R18') - - # Switches - pp.create_switch(net_cigre_lv, bus0, busR0, et='b', closed=True, type='CB', name='S1') - net_cigre_lv.bus_geodata = read_json( - """{"x":{"0":0.2,"1":0.2,"2":-1.4583333333,"3":-1.4583333333,"4":-1.4583333333, - "5":-1.9583333333,"6":-2.7083333333,"7":-2.7083333333,"8":-3.2083333333,"9":-3.2083333333, - "10":-3.2083333333,"11":-3.7083333333,"12":-0.9583333333,"13":-1.2083333333, - "14":-1.2083333333,"15":-1.2083333333,"16":-1.2083333333,"17":-2.2083333333, - "18":-2.7083333333,"19":-3.7083333333}, - "y":{"0":1.0,"1":1.0,"2":2.0,"3":3.0,"4":4.0,"5":5.0,"6":6.0,"7":7.0,"8":8.0,"9":9.0, - "10":10.0,"11":11.0,"12":5.0,"13":6.0,"14":7.0,"15":8.0,"16":9.0,"17":8.0,"18":11.0, - "19":12.0}}""") - # Match bus.index - net_cigre_lv.bus_geodata = net_cigre_lv.bus_geodata.loc[net_cigre_lv.bus.index] - return net_cigre_lv - -if __name__ == "__main__": - net=create_cigre_lv_resident() - print(net) +import pandapower as pp + +from pandas import read_json +def create_cigre_lv_resident(): + """ + Create the CIGRE LV Grid from final Report of Task Force C6.04.02: + "Benchmark Systems for Network Integration of Renewable and Distributed Energy Resources”, 2014. + OUTPUT: + **net** - The pandapower format network. + """ + net_cigre_lv = pp.create_empty_network() + + # Linedata + # UG1 + line_data = {'c_nf_per_km': 0.0, 'r_ohm_per_km': 0.162, + 'x_ohm_per_km': 0.0832, 'max_i_ka': 1.0, + 'type': 'cs'} + pp.create_std_type(net_cigre_lv, line_data, name='UG1', element='line') + + # UG3 + line_data = {'c_nf_per_km': 0.0, 'r_ohm_per_km': 0.822, + 'x_ohm_per_km': 0.0847, 'max_i_ka': 1.0, + 'type': 'cs'} + pp.create_std_type(net_cigre_lv, line_data, name='UG3', element='line') + + # OH1 + line_data = {'c_nf_per_km': 0.0, 'r_ohm_per_km': 0.4917, + 'x_ohm_per_km': 0.2847, 'max_i_ka': 1.0, + 'type': 'ol'} + pp.create_std_type(net_cigre_lv, line_data, name='OH1', element='line') + + # OH2 + line_data = {'c_nf_per_km': 0.0, 'r_ohm_per_km': 1.3207, + 'x_ohm_per_km': 0.321, 'max_i_ka': 1.0, + 'type': 'ol'} + pp.create_std_type(net_cigre_lv, line_data, name='OH2', element='line') + + # OH3 + line_data = {'c_nf_per_km': 0.0, 'r_ohm_per_km': 2.0167, + 'x_ohm_per_km': 0.3343, 'max_i_ka': 1.0, + 'type': 'ol'} + pp.create_std_type(net_cigre_lv, line_data, name='OH3', element='line') + + # Busses + bus0 = pp.create_bus(net_cigre_lv, name='Bus 0', vn_kv=20.0, type='b', zone='CIGRE_LV') + busR0 = pp.create_bus(net_cigre_lv, name='Bus R0', vn_kv=20.0, type='b', zone='CIGRE_LV') + busR1 = pp.create_bus(net_cigre_lv, name='Bus R1', vn_kv=0.4, type='b', zone='CIGRE_LV') + busR2 = pp.create_bus(net_cigre_lv, name='Bus R2', vn_kv=0.4, type='m', zone='CIGRE_LV') + busR3 = pp.create_bus(net_cigre_lv, name='Bus R3', vn_kv=0.4, type='m', zone='CIGRE_LV') + busR4 = pp.create_bus(net_cigre_lv, name='Bus R4', vn_kv=0.4, type='m', zone='CIGRE_LV') + busR5 = pp.create_bus(net_cigre_lv, name='Bus R5', vn_kv=0.4, type='m', zone='CIGRE_LV') + busR6 = pp.create_bus(net_cigre_lv, name='Bus R6', vn_kv=0.4, type='m', zone='CIGRE_LV') + busR7 = pp.create_bus(net_cigre_lv, name='Bus R7', vn_kv=0.4, type='m', zone='CIGRE_LV') + busR8 = pp.create_bus(net_cigre_lv, name='Bus R8', vn_kv=0.4, type='m', zone='CIGRE_LV') + busR9 = pp.create_bus(net_cigre_lv, name='Bus R9', vn_kv=0.4, type='m', zone='CIGRE_LV') + busR10 = pp.create_bus(net_cigre_lv, name='Bus R10', vn_kv=0.4, type='m', zone='CIGRE_LV') + busR11 = pp.create_bus(net_cigre_lv, name='Bus R11', vn_kv=0.4, type='m', zone='CIGRE_LV') + busR12 = pp.create_bus(net_cigre_lv, name='Bus R12', vn_kv=0.4, type='m', zone='CIGRE_LV') + busR13 = pp.create_bus(net_cigre_lv, name='Bus R13', vn_kv=0.4, type='m', zone='CIGRE_LV') + busR14 = pp.create_bus(net_cigre_lv, name='Bus R14', vn_kv=0.4, type='m', zone='CIGRE_LV') + busR15 = pp.create_bus(net_cigre_lv, name='Bus R15', vn_kv=0.4, type='m', zone='CIGRE_LV') + busR16 = pp.create_bus(net_cigre_lv, name='Bus R16', vn_kv=0.4, type='m', zone='CIGRE_LV') + busR17 = pp.create_bus(net_cigre_lv, name='Bus R17', vn_kv=0.4, type='m', zone='CIGRE_LV') + busR18 = pp.create_bus(net_cigre_lv, name='Bus R18', vn_kv=0.4, type='m', zone='CIGRE_LV') + + # Lines + pp.create_line(net_cigre_lv, busR1, busR2, length_km=0.035, std_type='UG1', + name='Line R1-R2') + pp.create_line(net_cigre_lv, busR2, busR3, length_km=0.035, std_type='UG1', + name='Line R2-R3') + pp.create_line(net_cigre_lv, busR3, busR4, length_km=0.035, std_type='UG1', + name='Line R3-R4') + pp.create_line(net_cigre_lv, busR4, busR5, length_km=0.035, std_type='UG1', + name='Line R4-R5') + pp.create_line(net_cigre_lv, busR5, busR6, length_km=0.035, std_type='UG1', + name='Line R5-R6') + pp.create_line(net_cigre_lv, busR6, busR7, length_km=0.035, std_type='UG1', + name='Line R6-R7') + pp.create_line(net_cigre_lv, busR7, busR8, length_km=0.035, std_type='UG1', + name='Line R7-R8') + pp.create_line(net_cigre_lv, busR8, busR9, length_km=0.035, std_type='UG1', + name='Line R8-R9') + pp.create_line(net_cigre_lv, busR9, busR10, length_km=0.035, std_type='UG1', + name='Line R9-R10') + pp.create_line(net_cigre_lv, busR3, busR11, length_km=0.030, std_type='UG3', + name='Line R3-R11') + pp.create_line(net_cigre_lv, busR4, busR12, length_km=0.035, std_type='UG3', + name='Line R4-R12') + pp.create_line(net_cigre_lv, busR12, busR13, length_km=0.035, std_type='UG3', + name='Line R12-R13') + pp.create_line(net_cigre_lv, busR13, busR14, length_km=0.035, std_type='UG3', + name='Line R13-R14') + pp.create_line(net_cigre_lv, busR14, busR15, length_km=0.030, std_type='UG3', + name='Line R14-R15') + pp.create_line(net_cigre_lv, busR6, busR16, length_km=0.030, std_type='UG3', + name='Line R6-R16') + pp.create_line(net_cigre_lv, busR9, busR17, length_km=0.030, std_type='UG3', + name='Line R9-R17') + pp.create_line(net_cigre_lv, busR10, busR18, length_km=0.030, std_type='UG3', + name='Line R10-R18') + + # Trafos + pp.create_transformer_from_parameters(net_cigre_lv, busR0, busR1, sn_mva=0.5, vn_hv_kv=20.0, + vn_lv_kv=0.4, vkr_percent=1.0, vk_percent=4.123106, + pfe_kw=0.0, i0_percent=0.0, shift_degree=30.0, + tap_neutral=0,tap_max=5,tap_min=-5,tap_step_percent=1.0, + tap_pos=0, name='Trafo R0-R1') + + # External grid + pp.create_ext_grid(net_cigre_lv, bus0, vm_pu=1.0, va_degree=0.0, s_sc_max_mva=100.0, + s_sc_min_mva=100.0, rx_max=1.0, rx_min=1.0) + + # Loads + pp.create_load(net_cigre_lv, busR1, p_mw=0.02, q_mvar=0.00019, name='Load R1') + pp.create_load(net_cigre_lv, busR2, p_mw=0.02, q_mvar=0.00019, name='Load R2') + pp.create_load(net_cigre_lv, busR3, p_mw=0.02, q_mvar=0.00019, name='Load R3') + pp.create_load(net_cigre_lv, busR4, p_mw=0.02, q_mvar=0.00019, name='Load R4') + pp.create_load(net_cigre_lv, busR5, p_mw=0.02, q_mvar=0.00019, name='Load R5') + pp.create_load(net_cigre_lv, busR6, p_mw=0.02, q_mvar=0.00019, name='Load R6') + pp.create_load(net_cigre_lv, busR7, p_mw=0.02, q_mvar=0.00019, name='Load R7') + pp.create_load(net_cigre_lv, busR8, p_mw=0.02, q_mvar=0.00019, name='Load R8') + pp.create_load(net_cigre_lv, busR9, p_mw=0.02, q_mvar=0.00019, name='Load R9') + pp.create_load(net_cigre_lv, busR10, p_mw=0.02, q_mvar=0.00019, name='Load R10') + pp.create_load(net_cigre_lv, busR11, p_mw=0.02, q_mvar=0.00019, name='Load R11') + pp.create_load(net_cigre_lv, busR12, p_mw=0.02, q_mvar=0.00019, name='Load R12') + pp.create_load(net_cigre_lv, busR13, p_mw=0.02, q_mvar=0.00019, name='Load R13') + pp.create_load(net_cigre_lv, busR14, p_mw=0.02, q_mvar=0.00019, name='Load R14') + pp.create_load(net_cigre_lv, busR15, p_mw=0.02, q_mvar=0.00019, name='Load R15') + pp.create_load(net_cigre_lv, busR16, p_mw=0.02, q_mvar=0.00019, name='Load R16') + pp.create_load(net_cigre_lv, busR17, p_mw=0.02, q_mvar=0.00019, name='Load R17') + pp.create_load(net_cigre_lv, busR18, p_mw=0.02, q_mvar=0.00019, name='Load R18') + + # Switches + pp.create_switch(net_cigre_lv, bus0, busR0, et='b', closed=True, type='CB', name='S1') + net_cigre_lv.bus_geodata = read_json( + """{"x":{"0":0.2,"1":0.2,"2":-1.4583333333,"3":-1.4583333333,"4":-1.4583333333, + "5":-1.9583333333,"6":-2.7083333333,"7":-2.7083333333,"8":-3.2083333333,"9":-3.2083333333, + "10":-3.2083333333,"11":-3.7083333333,"12":-0.9583333333,"13":-1.2083333333, + "14":-1.2083333333,"15":-1.2083333333,"16":-1.2083333333,"17":-2.2083333333, + "18":-2.7083333333,"19":-3.7083333333}, + "y":{"0":1.0,"1":1.0,"2":2.0,"3":3.0,"4":4.0,"5":5.0,"6":6.0,"7":7.0,"8":8.0,"9":9.0, + "10":10.0,"11":11.0,"12":5.0,"13":6.0,"14":7.0,"15":8.0,"16":9.0,"17":8.0,"18":11.0, + "19":12.0}}""") + # Match bus.index + net_cigre_lv.bus_geodata = net_cigre_lv.bus_geodata.loc[net_cigre_lv.bus.index] + return net_cigre_lv + +if __name__ == "__main__": + net=create_cigre_lv_resident() + print(net) diff --git a/Models/EleDisNetworkSim/simulator.py b/src/illuminator/models/EleDisNetworkSim/simulator.py similarity index 100% rename from Models/EleDisNetworkSim/simulator.py rename to src/illuminator/models/EleDisNetworkSim/simulator.py diff --git a/Models/Electrolyser/__init__.py b/src/illuminator/models/Electrolyser/__init__.py similarity index 100% rename from Models/Electrolyser/__init__.py rename to src/illuminator/models/Electrolyser/__init__.py diff --git a/Models/Electrolyser/electrolyser_model.py b/src/illuminator/models/Electrolyser/electrolyser_model.py similarity index 97% rename from Models/Electrolyser/electrolyser_model.py rename to src/illuminator/models/Electrolyser/electrolyser_model.py index 4a03002..2b9fa61 100644 --- a/Models/Electrolyser/electrolyser_model.py +++ b/src/illuminator/models/Electrolyser/electrolyser_model.py @@ -1,37 +1,37 @@ -class electrolyser_python: - def __init__(self, eff, resolution, term_eff, rated_power, ramp_rate): - self.p_in = None - self.h_out = None - self.eff = eff - self.resolution = resolution - self.term_eff = term_eff - self.rated_power = rated_power - self.ramp_rate = ramp_rate - self.p_in_last = 0 # power input during the last step - - - def ramp_rate_limit(self, desired_power): - # Limit the change in power based on the ramp rate - power_change = desired_power - self.p_in_last - if abs(power_change) > self.ramp_rate: - desired_power = self.p_in_last + self.resolution * self.ramp_rate - return desired_power - - def electrolyser(self, flow2e, temperature=15, pressure=100): - q_product=0 - desired_power = min(self.rated_power, flow2e) - e_consume = self.ramp_rate_limit(desired_power) - if e_consume > 0: - - q_product = e_consume * self.term_eff - conversion = e_consume * self.resolution * 60 # kJ - hhv = 286.6 # kJ/mol - mole = conversion / hhv * self.eff # gives number of moles of hydrogen - out = 2.02 * mole # weight of hydrogen is 2.02 grams/mole - h_mass = out / 1000 # kg of hydrogen produced in 15 min - self.h_out = h_mass * 11.2 / self.resolution # m^3/min at NTP - re_params = {'h2_gen': self.h_out, 'flow2e': flow2e, 'q_product': q_product, 'e_consume': e_consume} - else: - self.h_out = 0 - re_params = {'h2_gen': self.h_out, 'flow2e': flow2e, 'q_product': q_product, 'e_consume': e_consume} - return re_params +class electrolyser_python: + def __init__(self, eff, resolution, term_eff, rated_power, ramp_rate): + self.p_in = None + self.h_out = None + self.eff = eff + self.resolution = resolution + self.term_eff = term_eff + self.rated_power = rated_power + self.ramp_rate = ramp_rate + self.p_in_last = 0 # power input during the last step + + + def ramp_rate_limit(self, desired_power): + # Limit the change in power based on the ramp rate + power_change = desired_power - self.p_in_last + if abs(power_change) > self.ramp_rate: + desired_power = self.p_in_last + self.resolution * self.ramp_rate + return desired_power + + def electrolyser(self, flow2e, temperature=15, pressure=100): + q_product=0 + desired_power = min(self.rated_power, flow2e) + e_consume = self.ramp_rate_limit(desired_power) + if e_consume > 0: + + q_product = e_consume * self.term_eff + conversion = e_consume * self.resolution * 60 # kJ + hhv = 286.6 # kJ/mol + mole = conversion / hhv * self.eff # gives number of moles of hydrogen + out = 2.02 * mole # weight of hydrogen is 2.02 grams/mole + h_mass = out / 1000 # kg of hydrogen produced in 15 min + self.h_out = h_mass * 11.2 / self.resolution # m^3/min at NTP + re_params = {'h2_gen': self.h_out, 'flow2e': flow2e, 'q_product': q_product, 'e_consume': e_consume} + else: + self.h_out = 0 + re_params = {'h2_gen': self.h_out, 'flow2e': flow2e, 'q_product': q_product, 'e_consume': e_consume} + return re_params diff --git a/Models/Electrolyser/electrolyser_mosaik.py b/src/illuminator/models/Electrolyser/electrolyser_mosaik.py similarity index 97% rename from Models/Electrolyser/electrolyser_mosaik.py rename to src/illuminator/models/Electrolyser/electrolyser_mosaik.py index 373cf4f..ab35e5b 100644 --- a/Models/Electrolyser/electrolyser_mosaik.py +++ b/src/illuminator/models/Electrolyser/electrolyser_mosaik.py @@ -1,84 +1,84 @@ -import mosaik_api -#import Electrolyser.electrolyser_model as electrolyser_model -try: - import Models.Electrolyser.electrolyser_model as electrolyser_model -except ModuleNotFoundError: - import electrolyser_model as electrolyser_model -else: - import Models.Electrolyser.electrolyser_model as electrolyser_model - -import pandas as pd - -META = { - 'type': 'event-based', - 'models': { - 'electrolysermodel': { - 'public': True, - 'params': ['sim_start', 'eff', 'resolution', 'term_eff','rated_power','ramp_rate'], - 'attrs': ['electro_id','h2_gen', 'flow2e', 'q_product', 'e_consume'], - 'trigger': [], - }, - }, -} - - -class ElectrolyserSim(mosaik_api.Simulator): - def __init__(self): - super().__init__(META) - self.eid_prefix = 'electrolyser_' - self.entities = {} - self._cache = {} - - def init(self, sid, time_resolution): - self.time_resolution = time_resolution - return self.meta - - def create(self, num, model, sim_start, **model_params): - self.start = pd.to_datetime(sim_start) - entities = [] - - for i in range(num): - eid = '%s%d' % (self.eid_prefix, i) - model_instance = electrolyser_model.electrolyser_python(**model_params) - self.entities[eid] = model_instance - entities.append({'eid': eid, 'type': model}) - - return entities - - def step(self, time, inputs, max_advance): - - current_time = (self.start + - pd.Timedelta(time * self.time_resolution, - unit='seconds')) # timedelta represents a duration of time - print('from electrolyser %%%%%%%%%',current_time) - - for eid, attrs in inputs.items(): - for attr, vals in attrs.items(): - if attr == 'flow2e': - flow2e = list(vals.values())[0] - self._cache[eid] = self.entities[eid].electrolyser(flow2e) - - return None - - def get_data(self, outputs): - data = {} - for eid, attrs in outputs.items(): - data[eid] = {} - for attr in attrs: - if attr == 'h2_gen': - data[eid][attr] = self._cache[eid]['h2_gen'] - if attr == 'flow2e': - data[eid][attr] = self._cache[eid]['flow2e'] - if attr == 'q_product': - data[eid][attr] = self._cache[eid]['q_product'] - if attr == 'e_consume': - data[eid][attr] = self._cache[eid]['e_consume'] - return data - - -def main(): - mosaik_api.start_simulation(ElectrolyserSim(), 'Electrolyser-Simulator') - -if __name__ == "__main__": - main() - +import mosaik_api +#import Electrolyser.electrolyser_model as electrolyser_model +try: + import Models.Electrolyser.electrolyser_model as electrolyser_model +except ModuleNotFoundError: + import electrolyser_model as electrolyser_model +else: + import Models.Electrolyser.electrolyser_model as electrolyser_model + +import pandas as pd + +META = { + 'type': 'event-based', + 'models': { + 'electrolysermodel': { + 'public': True, + 'params': ['sim_start', 'eff', 'resolution', 'term_eff','rated_power','ramp_rate'], + 'attrs': ['electro_id','h2_gen', 'flow2e', 'q_product', 'e_consume'], + 'trigger': [], + }, + }, +} + + +class ElectrolyserSim(mosaik_api.Simulator): + def __init__(self): + super().__init__(META) + self.eid_prefix = 'electrolyser_' + self.entities = {} + self._cache = {} + + def init(self, sid, time_resolution): + self.time_resolution = time_resolution + return self.meta + + def create(self, num, model, sim_start, **model_params): + self.start = pd.to_datetime(sim_start) + entities = [] + + for i in range(num): + eid = '%s%d' % (self.eid_prefix, i) + model_instance = electrolyser_model.electrolyser_python(**model_params) + self.entities[eid] = model_instance + entities.append({'eid': eid, 'type': model}) + + return entities + + def step(self, time, inputs, max_advance): + + current_time = (self.start + + pd.Timedelta(time * self.time_resolution, + unit='seconds')) # timedelta represents a duration of time + print('from electrolyser %%%%%%%%%',current_time) + + for eid, attrs in inputs.items(): + for attr, vals in attrs.items(): + if attr == 'flow2e': + flow2e = list(vals.values())[0] + self._cache[eid] = self.entities[eid].electrolyser(flow2e) + + return None + + def get_data(self, outputs): + data = {} + for eid, attrs in outputs.items(): + data[eid] = {} + for attr in attrs: + if attr == 'h2_gen': + data[eid][attr] = self._cache[eid]['h2_gen'] + if attr == 'flow2e': + data[eid][attr] = self._cache[eid]['flow2e'] + if attr == 'q_product': + data[eid][attr] = self._cache[eid]['q_product'] + if attr == 'e_consume': + data[eid][attr] = self._cache[eid]['e_consume'] + return data + + +def main(): + mosaik_api.start_simulation(ElectrolyserSim(), 'Electrolyser-Simulator') + +if __name__ == "__main__": + main() + diff --git a/Models/Elenetwork/__init__.py b/src/illuminator/models/Elenetwork/__init__.py similarity index 100% rename from Models/Elenetwork/__init__.py rename to src/illuminator/models/Elenetwork/__init__.py diff --git a/Models/Elenetwork/electricity_network_model.py b/src/illuminator/models/Elenetwork/electricity_network_model.py similarity index 100% rename from Models/Elenetwork/electricity_network_model.py rename to src/illuminator/models/Elenetwork/electricity_network_model.py diff --git a/Models/Elenetwork/electricity_network_mosaik.py b/src/illuminator/models/Elenetwork/electricity_network_mosaik.py similarity index 100% rename from Models/Elenetwork/electricity_network_mosaik.py rename to src/illuminator/models/Elenetwork/electricity_network_mosaik.py diff --git a/Models/Fuelcell/__init__.py b/src/illuminator/models/Fuelcell/__init__.py similarity index 100% rename from Models/Fuelcell/__init__.py rename to src/illuminator/models/Fuelcell/__init__.py diff --git a/Models/Fuelcell/fuelcell_model.py b/src/illuminator/models/Fuelcell/fuelcell_model.py similarity index 97% rename from Models/Fuelcell/fuelcell_model.py rename to src/illuminator/models/Fuelcell/fuelcell_model.py index 930ae32..257353d 100644 --- a/Models/Fuelcell/fuelcell_model.py +++ b/src/illuminator/models/Fuelcell/fuelcell_model.py @@ -1,28 +1,28 @@ - -class fuelcell_python: - def __init__(self, eff, term_eff, max_flow, min_flow,resolution): - self.eff = eff - self.term_eff = term_eff - self.max_flow = max_flow - self.min_flow = min_flow - self.resolution=resolution - - def efficiency(self, load, temperature, pressure): - # Replace this with the actual efficiency formula based on load, temperature, and pressure - #self.eff = some_function_of_load_temperature_and_pressure(load, temperature, pressure) - return self.eff - - def output(self, h2_consume, temperature=25, pressure=100): - # Limit the hydrogen consumption to the minimum and maximum flow rates - h2fuel = max(self.min_flow, min(self.max_flow, h2_consume)) - - # Calculate the efficiency based on the current load and operational conditions - self.eff = self.efficiency(h2_consume, temperature, pressure) - - # Calculate the power output - energy_density = 120 * (10**3) # kJ/m^3 energy generated from 1 m^3 hydrogen - out = (h2_consume * energy_density * self.eff) / 60 # kW generated from fuelcell - q_out = out * self.term_eff - - re_params = {'fc_gen': out,'h2feul':h2fuel,'h2_consume': h2_consume, 'q_product': q_out} - return re_params + +class fuelcell_python: + def __init__(self, eff, term_eff, max_flow, min_flow,resolution): + self.eff = eff + self.term_eff = term_eff + self.max_flow = max_flow + self.min_flow = min_flow + self.resolution=resolution + + def efficiency(self, load, temperature, pressure): + # Replace this with the actual efficiency formula based on load, temperature, and pressure + #self.eff = some_function_of_load_temperature_and_pressure(load, temperature, pressure) + return self.eff + + def output(self, h2_consume, temperature=25, pressure=100): + # Limit the hydrogen consumption to the minimum and maximum flow rates + h2fuel = max(self.min_flow, min(self.max_flow, h2_consume)) + + # Calculate the efficiency based on the current load and operational conditions + self.eff = self.efficiency(h2_consume, temperature, pressure) + + # Calculate the power output + energy_density = 120 * (10**3) # kJ/m^3 energy generated from 1 m^3 hydrogen + out = (h2_consume * energy_density * self.eff) / 60 # kW generated from fuelcell + q_out = out * self.term_eff + + re_params = {'fc_gen': out,'h2feul':h2fuel,'h2_consume': h2_consume, 'q_product': q_out} + return re_params diff --git a/Models/Fuelcell/fuelcell_mosaik.py b/src/illuminator/models/Fuelcell/fuelcell_mosaik.py similarity index 96% rename from Models/Fuelcell/fuelcell_mosaik.py rename to src/illuminator/models/Fuelcell/fuelcell_mosaik.py index f290f87..2a99e47 100644 --- a/Models/Fuelcell/fuelcell_mosaik.py +++ b/src/illuminator/models/Fuelcell/fuelcell_mosaik.py @@ -1,81 +1,81 @@ -import mosaik_api -import numpy as np -import pandas as pd - -#import Fuelcell.fuelcell_model as fc -try: - import Models.Fuelcell.fuelcell_model as fc -except ModuleNotFoundError: - import fuelcell_model as fc -else: - import Models.Fuelcell.fuelcell_model as fc - - -meta = { - 'type': 'event-based', - 'models': { - 'fuelcellmodel': { - 'public': True, - 'params': ['sim_start', 'eff', 'term_eff','min_flow','max_flow','resolution'], - 'attrs': ['h2fuel','h2_consume', 'fc_gen', 'q_product'], - 'trigger': [], - }, - }, -} - -class FuelCellSim(mosaik_api.Simulator): - def __init__(self): - super().__init__(meta) - self.eid_prefix = 'fc_' - self.entities = {} - self._cache = {} - self.fc_gen = {} - - def init(self, sid, time_resolution): - self.time_resolution = time_resolution - return self.meta - - def create(self, num, model, sim_start, **model_params): - self.start = pd.to_datetime(sim_start) - entities = [] - - for i in range (num): - eid = '%s%d' % (self.eid_prefix, i) - model_instance = fc.fuelcell_python(**model_params) - self.entities[eid] = model_instance - entities.append({'eid': eid, 'type': model}) - return entities - - def step(self, time, inputs, max_advance): - self.time = time - current_time = (self.start + - pd.Timedelta(time * self.time_resolution, unit='seconds')) - print('from fuel cell %%%%%%%%%%', current_time) - - for eid, attrs in inputs.items(): - for attr, vals in attrs.items(): - if attr == 'h2_consume': - h2_consume = list(vals.values())[0] - self._cache[eid] = self.entities[eid].output(h2_consume) - return None - - def get_data(self, outputs): - data = {} - for eid, attrs in outputs.items(): - data[eid] = {} - for attr in attrs: - if attr == 'fc_gen': - data[eid][attr] = self._cache[eid]['fc_gen'] - if attr == 'h2_consume': - data[eid][attr] = self._cache[eid]['h2_consume'] - if attr == 'q_product': - data[eid][attr] = self._cache[eid]['q_product'] - - if attr =='h2fuel': - data[eid][attr] = self._cache[eid]['h2fuel'] - return data -def main(): - mosaik_api.start_simulation(FuelCellSim(), 'FuelCell Simulator') - -if __name__ == "__main__": - main() +import mosaik_api +import numpy as np +import pandas as pd + +#import Fuelcell.fuelcell_model as fc +try: + import Models.Fuelcell.fuelcell_model as fc +except ModuleNotFoundError: + import fuelcell_model as fc +else: + import Models.Fuelcell.fuelcell_model as fc + + +meta = { + 'type': 'event-based', + 'models': { + 'fuelcellmodel': { + 'public': True, + 'params': ['sim_start', 'eff', 'term_eff','min_flow','max_flow','resolution'], + 'attrs': ['h2fuel','h2_consume', 'fc_gen', 'q_product'], + 'trigger': [], + }, + }, +} + +class FuelCellSim(mosaik_api.Simulator): + def __init__(self): + super().__init__(meta) + self.eid_prefix = 'fc_' + self.entities = {} + self._cache = {} + self.fc_gen = {} + + def init(self, sid, time_resolution): + self.time_resolution = time_resolution + return self.meta + + def create(self, num, model, sim_start, **model_params): + self.start = pd.to_datetime(sim_start) + entities = [] + + for i in range (num): + eid = '%s%d' % (self.eid_prefix, i) + model_instance = fc.fuelcell_python(**model_params) + self.entities[eid] = model_instance + entities.append({'eid': eid, 'type': model}) + return entities + + def step(self, time, inputs, max_advance): + self.time = time + current_time = (self.start + + pd.Timedelta(time * self.time_resolution, unit='seconds')) + print('from fuel cell %%%%%%%%%%', current_time) + + for eid, attrs in inputs.items(): + for attr, vals in attrs.items(): + if attr == 'h2_consume': + h2_consume = list(vals.values())[0] + self._cache[eid] = self.entities[eid].output(h2_consume) + return None + + def get_data(self, outputs): + data = {} + for eid, attrs in outputs.items(): + data[eid] = {} + for attr in attrs: + if attr == 'fc_gen': + data[eid][attr] = self._cache[eid]['fc_gen'] + if attr == 'h2_consume': + data[eid][attr] = self._cache[eid]['h2_consume'] + if attr == 'q_product': + data[eid][attr] = self._cache[eid]['q_product'] + + if attr =='h2fuel': + data[eid][attr] = self._cache[eid]['h2fuel'] + return data +def main(): + mosaik_api.start_simulation(FuelCellSim(), 'FuelCell Simulator') + +if __name__ == "__main__": + main() diff --git a/Models/H2demand/h2demand_model.py b/src/illuminator/models/H2demand/h2demand_model.py similarity index 100% rename from Models/H2demand/h2demand_model.py rename to src/illuminator/models/H2demand/h2demand_model.py diff --git a/Models/H2demand/h2demand_mosaik.py b/src/illuminator/models/H2demand/h2demand_mosaik.py similarity index 100% rename from Models/H2demand/h2demand_mosaik.py rename to src/illuminator/models/H2demand/h2demand_mosaik.py diff --git a/Models/H2network/__init__.py b/src/illuminator/models/H2network/__init__.py similarity index 100% rename from Models/H2network/__init__.py rename to src/illuminator/models/H2network/__init__.py diff --git a/Models/H2network/gas_network_model.py b/src/illuminator/models/H2network/gas_network_model.py similarity index 100% rename from Models/H2network/gas_network_model.py rename to src/illuminator/models/H2network/gas_network_model.py diff --git a/Models/H2network/gas_network_mosaik.py b/src/illuminator/models/H2network/gas_network_mosaik.py similarity index 100% rename from Models/H2network/gas_network_mosaik.py rename to src/illuminator/models/H2network/gas_network_mosaik.py diff --git a/Models/H2product/h2product_model.py b/src/illuminator/models/H2product/h2product_model.py similarity index 100% rename from Models/H2product/h2product_model.py rename to src/illuminator/models/H2product/h2product_model.py diff --git a/Models/H2product/h2product_mosaik.py b/src/illuminator/models/H2product/h2product_mosaik.py similarity index 100% rename from Models/H2product/h2product_mosaik.py rename to src/illuminator/models/H2product/h2product_mosaik.py diff --git a/Models/H2storage/__init__.py b/src/illuminator/models/H2storage/__init__.py similarity index 100% rename from Models/H2storage/__init__.py rename to src/illuminator/models/H2storage/__init__.py diff --git a/Models/H2storage/h2storage_model.py b/src/illuminator/models/H2storage/h2storage_model.py similarity index 97% rename from Models/H2storage/h2storage_model.py rename to src/illuminator/models/H2storage/h2storage_model.py index 6617a78..d90de80 100644 --- a/Models/H2storage/h2storage_model.py +++ b/src/illuminator/models/H2storage/h2storage_model.py @@ -1,113 +1,113 @@ -# compressed hydrogen storage tank at 700bar and storing about 100kg of hydrogen - -class hydrogenstorage_python: - def __init__(self, initial_set, h2_set): - self.h2storage_soc = initial_set['initial_soc'] - self.h2storage_soc_min = h2_set['h2storage_soc_min'] - self.h2storage_soc_max = h2_set['h2storage_soc_max'] - self.eff = h2_set['eff'] - self.max_h2 = h2_set['max_h2'] - self.min_h2 = h2_set['min_h2'] - self.capacity = h2_set['capacity'] - self.resolution=h2_set['resolution'] - self.flag = 0 - self.output_show=0 - self.output2_show=0 - - def charge_h2(self, flow2h2s_net): - h2_flow = min(self.max_h2, flow2h2s_net) # m^3/min - if h2_flow > 0: - h2discharge = h2_flow * self.eff * self.resolution # m^3 - h2_capacity = ((self.h2storage_soc_max - self.h2storage_soc) / 100) * self.capacity - if self.h2storage_soc >= self.h2storage_soc_max: - self.flag = 1 - self.output_show = 0 - else: - if h2discharge <= h2_capacity: - self.h2storage_soc = self.h2storage_soc + (h2discharge / self.capacity * 100) - self.flag = 0 - self.output_show = h2_flow - - else: # Fully-charge Case - h2_consumed = h2_capacity / self.eff - h2_excess = h2discharge - h2_consumed - self.output2_show = h2_excess / self.resolution - self.output_show = h2_consumed/self.resolution #m^3/min - self.h2storage_soc = self.h2storage_soc_max - self.flag = 1 - elif h2_flow == 0: - self.output_show = 0 - self.h2storage_soc = round(self.h2storage_soc, 3) - re_params = {'h2_flow': self.output_show, - 'h2_excess_flow': self.output2_show, - 'h2_soc': self.h2storage_soc, - 'mod': 1, - 'flag': self.flag} - return re_params - - def discharge_h2(self, flow2h2s_net): - h2_flow = max(self.min_h2, flow2h2s_net) # m^3/min - if h2_flow < 0: - h2discharge = h2_flow / self.eff * self.resolution # m^3 - h2_capacity = ((self.h2storage_soc_min - self.h2storage_soc) / 100) * self.capacity - if self.h2storage_soc <= self.h2storage_soc_min: - self.flag = -1 - self.output_show = 0 - else: - if h2discharge > h2_capacity: - h2_given = h2discharge - self.h2storage_soc = self.h2storage_soc + (h2discharge / self.capacity * 100) - self.flag = 0 - self.output_show = h2_flow - - else: # Fully-discharge Case - h2_given = h2_capacity * self.eff - h2_excess = h2discharge - h2_given - self.output2_show=h2_excess/self.resolution - self.output_show = h2_given/self.resolution #m^3/min - self.h2storage_soc = self.h2storage_soc_min - self.flag = -1 - else: - self.output_show = 0 - self.h2storage_soc = round(self.h2storage_soc, 3) - re_params = { - 'h2_flow': self.output_show, - 'h2_excess_flow':self.output2_show, - 'h2_soc': self.h2storage_soc, - 'mod': 1, - 'flag': self.flag} - - return re_params - - def output_h2(self, flow2h2s, eleh2_in, fuelh2_out, soc): - self.h2storage_soc = soc - flow2h2s_net=flow2h2s+eleh2_in-fuelh2_out - if flow2h2s_net == 0: # i.e when there isn't a demand of hydrogen at all, - if self.h2storage_soc >= self.h2storage_soc_max: - self.flag = 1 # meaning battery object is fully charged - elif self.h2storage_soc <= self.h2storage_soc_min: - self.flag = -1 # meaning battery object is fully discharged - else: - self.flag = 0 # meaning it is available to operate. - re_params = {'flow2h2s': flow2h2s, - 'eleh2_in': eleh2_in, - 'fuelh2_out': fuelh2_out, - 'h2_flow': 0, - 'h2_excess_flow': 0, - 'h2_soc': self.h2storage_soc, - 'mod': 0, - 'flag': self.flag} - - elif flow2h2s_net < 0: # discharge - re_params={'flow2h2s': flow2h2s, - 'eleh2_in': eleh2_in, - 'fuelh2_out': fuelh2_out} - re_params.update(self.discharge_h2(flow2h2s_net)) - - else: # charge - re_params = {'flow2h2s': flow2h2s, - 'eleh2_in': eleh2_in, - 'fuelh2_out': fuelh2_out} - re_params.update(self.charge_h2(flow2h2s_net)) - - return re_params +# compressed hydrogen storage tank at 700bar and storing about 100kg of hydrogen + +class hydrogenstorage_python: + def __init__(self, initial_set, h2_set): + self.h2storage_soc = initial_set['initial_soc'] + self.h2storage_soc_min = h2_set['h2storage_soc_min'] + self.h2storage_soc_max = h2_set['h2storage_soc_max'] + self.eff = h2_set['eff'] + self.max_h2 = h2_set['max_h2'] + self.min_h2 = h2_set['min_h2'] + self.capacity = h2_set['capacity'] + self.resolution=h2_set['resolution'] + self.flag = 0 + self.output_show=0 + self.output2_show=0 + + def charge_h2(self, flow2h2s_net): + h2_flow = min(self.max_h2, flow2h2s_net) # m^3/min + if h2_flow > 0: + h2discharge = h2_flow * self.eff * self.resolution # m^3 + h2_capacity = ((self.h2storage_soc_max - self.h2storage_soc) / 100) * self.capacity + if self.h2storage_soc >= self.h2storage_soc_max: + self.flag = 1 + self.output_show = 0 + else: + if h2discharge <= h2_capacity: + self.h2storage_soc = self.h2storage_soc + (h2discharge / self.capacity * 100) + self.flag = 0 + self.output_show = h2_flow + + else: # Fully-charge Case + h2_consumed = h2_capacity / self.eff + h2_excess = h2discharge - h2_consumed + self.output2_show = h2_excess / self.resolution + self.output_show = h2_consumed/self.resolution #m^3/min + self.h2storage_soc = self.h2storage_soc_max + self.flag = 1 + elif h2_flow == 0: + self.output_show = 0 + self.h2storage_soc = round(self.h2storage_soc, 3) + re_params = {'h2_flow': self.output_show, + 'h2_excess_flow': self.output2_show, + 'h2_soc': self.h2storage_soc, + 'mod': 1, + 'flag': self.flag} + return re_params + + def discharge_h2(self, flow2h2s_net): + h2_flow = max(self.min_h2, flow2h2s_net) # m^3/min + if h2_flow < 0: + h2discharge = h2_flow / self.eff * self.resolution # m^3 + h2_capacity = ((self.h2storage_soc_min - self.h2storage_soc) / 100) * self.capacity + if self.h2storage_soc <= self.h2storage_soc_min: + self.flag = -1 + self.output_show = 0 + else: + if h2discharge > h2_capacity: + h2_given = h2discharge + self.h2storage_soc = self.h2storage_soc + (h2discharge / self.capacity * 100) + self.flag = 0 + self.output_show = h2_flow + + else: # Fully-discharge Case + h2_given = h2_capacity * self.eff + h2_excess = h2discharge - h2_given + self.output2_show=h2_excess/self.resolution + self.output_show = h2_given/self.resolution #m^3/min + self.h2storage_soc = self.h2storage_soc_min + self.flag = -1 + else: + self.output_show = 0 + self.h2storage_soc = round(self.h2storage_soc, 3) + re_params = { + 'h2_flow': self.output_show, + 'h2_excess_flow':self.output2_show, + 'h2_soc': self.h2storage_soc, + 'mod': 1, + 'flag': self.flag} + + return re_params + + def output_h2(self, flow2h2s, eleh2_in, fuelh2_out, soc): + self.h2storage_soc = soc + flow2h2s_net=flow2h2s+eleh2_in-fuelh2_out + if flow2h2s_net == 0: # i.e when there isn't a demand of hydrogen at all, + if self.h2storage_soc >= self.h2storage_soc_max: + self.flag = 1 # meaning battery object is fully charged + elif self.h2storage_soc <= self.h2storage_soc_min: + self.flag = -1 # meaning battery object is fully discharged + else: + self.flag = 0 # meaning it is available to operate. + re_params = {'flow2h2s': flow2h2s, + 'eleh2_in': eleh2_in, + 'fuelh2_out': fuelh2_out, + 'h2_flow': 0, + 'h2_excess_flow': 0, + 'h2_soc': self.h2storage_soc, + 'mod': 0, + 'flag': self.flag} + + elif flow2h2s_net < 0: # discharge + re_params={'flow2h2s': flow2h2s, + 'eleh2_in': eleh2_in, + 'fuelh2_out': fuelh2_out} + re_params.update(self.discharge_h2(flow2h2s_net)) + + else: # charge + re_params = {'flow2h2s': flow2h2s, + 'eleh2_in': eleh2_in, + 'fuelh2_out': fuelh2_out} + re_params.update(self.charge_h2(flow2h2s_net)) + + return re_params diff --git a/Models/H2storage/h2storage_mosaik.py b/src/illuminator/models/H2storage/h2storage_mosaik.py similarity index 97% rename from Models/H2storage/h2storage_mosaik.py rename to src/illuminator/models/H2storage/h2storage_mosaik.py index 0ccf1a6..8cdf9d9 100644 --- a/Models/H2storage/h2storage_mosaik.py +++ b/src/illuminator/models/H2storage/h2storage_mosaik.py @@ -1,117 +1,117 @@ -import mosaik_api -#import H2storage.h2storage_model as h2trailer -try: - import Models.H2storage.h2storage_model as hydrogen_storage -except ModuleNotFoundError: - import h2storage_model as hydrogen_storage -else: - import Models.H2storage.h2storage_model as hydrogen_storage -import pandas as pd -import itertools -META = { - 'type': 'event-based', - 'models': { - 'compressed_hydrogen': { - 'public': True, - 'params': ['sim_start', 'initial_set', 'h2_set'], - 'attrs': ['h2storage_id', - 'flow2h2s', - 'eleh2_in', - 'fuelh2_out', - 'h2_flow', - 'h2_excess_flow', - 'h2_soc', - 'mod', - 'flag', - 'h2_flow'], - 'trigger': [], - }, - }, -} - -class compressedhydrogen(mosaik_api.Simulator): - def __init__(self): - super().__init__(META) - self.eid_prefix = 'h2storage_' - self.entities = {} - self._cache = {} - self.soc = {} - self.flag = {} - self.h2_stored = {} - - def init(self, sid, time_resolution): - self.time_resolution = time_resolution - return self.meta - - def create(self, num, model, initial_set, h2_set, sim_start): - self.start = pd.to_datetime(sim_start) - self._entities = [] - - # num is the number of models of battery we want. - for i in range(num): - self.eid = '%s%d' % (self.eid_prefix, i) - h2storage_instance = hydrogen_storage.hydrogenstorage_python(initial_set, h2_set) - - self.entities[self.eid] = h2storage_instance - self.soc[self.eid] = initial_set['initial_soc'] - self.flag[self.eid] = h2_set['flag'] - self._entities.append({'eid': self.eid, 'type': model, 'rel': [], }) - return self._entities - - def step(self, time, inputs, max_advance): - self.time = time - current_time = (self.start + pd.Timedelta(time * self.time_resolution, unit='seconds')) - print('from h2 storage %%%%%%%%', current_time) - eleh2_in=0 - flow2h2s=0 - fuelh2_out=0 - - for eid, attrs in inputs.items(): - for attr, vals in attrs.items(): - #flow2h2s, eleh2_in, fuelh2_out - if attr=='eleh2_in': - eleh2_in=eleh2_in+list(vals.values())[0] - elif attr=='fuelh2_out': - fuelh2_out=fuelh2_out+list(vals.values())[0] - elif attr=='flow2h2s': - flow2h2s = flow2h2s + list(vals.values())[0] - - self._cache[eid] = self.entities[eid].output_h2(flow2h2s,eleh2_in,fuelh2_out, self.soc[eid]) - - self.soc[eid] = self._cache[eid]['h2_soc'] - self.flag = self._cache[eid]['flag'] - - return None - - def get_data(self, outputs): - data = {} - for eid, attrs in outputs.items(): - model = self.entities[eid] - data[eid] = {} - for attr in attrs: - if attr == 'h2_soc': - data[eid][attr] = self._cache[eid]['h2_soc'] - elif attr == 'mod': - data[eid][attr] = self._cache[eid]['mod'] - elif attr == 'h2storage_id': - data[eid][attr] = eid - elif attr == 'flag': - data[eid][attr] = self._cache[eid]['flag'] - - elif attr == 'eleh2_in': - data[eid][attr] = self._cache[eid]['eleh2_in'] - elif attr == 'fuelh2_out': - data[eid][attr] = self._cache[eid]['fuelh2_out'] - elif attr == 'h2_flow': - data[eid][attr] = self._cache[eid]['h2_flow'] - elif attr == 'h2_excess_flow': - data[eid][attr] = self._cache[eid]['h2_excess_flow'] - - return data - - -def main(): - mosaik_api.start_simulation(compressedhydrogen(), 'H2storage-Simulator') - -if __name__ == "__main__": +import mosaik_api +#import H2storage.h2storage_model as h2trailer +try: + import Models.H2storage.h2storage_model as hydrogen_storage +except ModuleNotFoundError: + import h2storage_model as hydrogen_storage +else: + import Models.H2storage.h2storage_model as hydrogen_storage +import pandas as pd +import itertools +META = { + 'type': 'event-based', + 'models': { + 'compressed_hydrogen': { + 'public': True, + 'params': ['sim_start', 'initial_set', 'h2_set'], + 'attrs': ['h2storage_id', + 'flow2h2s', + 'eleh2_in', + 'fuelh2_out', + 'h2_flow', + 'h2_excess_flow', + 'h2_soc', + 'mod', + 'flag', + 'h2_flow'], + 'trigger': [], + }, + }, +} + +class compressedhydrogen(mosaik_api.Simulator): + def __init__(self): + super().__init__(META) + self.eid_prefix = 'h2storage_' + self.entities = {} + self._cache = {} + self.soc = {} + self.flag = {} + self.h2_stored = {} + + def init(self, sid, time_resolution): + self.time_resolution = time_resolution + return self.meta + + def create(self, num, model, initial_set, h2_set, sim_start): + self.start = pd.to_datetime(sim_start) + self._entities = [] + + # num is the number of models of battery we want. + for i in range(num): + self.eid = '%s%d' % (self.eid_prefix, i) + h2storage_instance = hydrogen_storage.hydrogenstorage_python(initial_set, h2_set) + + self.entities[self.eid] = h2storage_instance + self.soc[self.eid] = initial_set['initial_soc'] + self.flag[self.eid] = h2_set['flag'] + self._entities.append({'eid': self.eid, 'type': model, 'rel': [], }) + return self._entities + + def step(self, time, inputs, max_advance): + self.time = time + current_time = (self.start + pd.Timedelta(time * self.time_resolution, unit='seconds')) + print('from h2 storage %%%%%%%%', current_time) + eleh2_in=0 + flow2h2s=0 + fuelh2_out=0 + + for eid, attrs in inputs.items(): + for attr, vals in attrs.items(): + #flow2h2s, eleh2_in, fuelh2_out + if attr=='eleh2_in': + eleh2_in=eleh2_in+list(vals.values())[0] + elif attr=='fuelh2_out': + fuelh2_out=fuelh2_out+list(vals.values())[0] + elif attr=='flow2h2s': + flow2h2s = flow2h2s + list(vals.values())[0] + + self._cache[eid] = self.entities[eid].output_h2(flow2h2s,eleh2_in,fuelh2_out, self.soc[eid]) + + self.soc[eid] = self._cache[eid]['h2_soc'] + self.flag = self._cache[eid]['flag'] + + return None + + def get_data(self, outputs): + data = {} + for eid, attrs in outputs.items(): + model = self.entities[eid] + data[eid] = {} + for attr in attrs: + if attr == 'h2_soc': + data[eid][attr] = self._cache[eid]['h2_soc'] + elif attr == 'mod': + data[eid][attr] = self._cache[eid]['mod'] + elif attr == 'h2storage_id': + data[eid][attr] = eid + elif attr == 'flag': + data[eid][attr] = self._cache[eid]['flag'] + + elif attr == 'eleh2_in': + data[eid][attr] = self._cache[eid]['eleh2_in'] + elif attr == 'fuelh2_out': + data[eid][attr] = self._cache[eid]['fuelh2_out'] + elif attr == 'h2_flow': + data[eid][attr] = self._cache[eid]['h2_flow'] + elif attr == 'h2_excess_flow': + data[eid][attr] = self._cache[eid]['h2_excess_flow'] + + return data + + +def main(): + mosaik_api.start_simulation(compressedhydrogen(), 'H2storage-Simulator') + +if __name__ == "__main__": main() \ No newline at end of file diff --git a/Models/Heatdemand/qdemand_model.py b/src/illuminator/models/Heatdemand/qdemand_model.py similarity index 100% rename from Models/Heatdemand/qdemand_model.py rename to src/illuminator/models/Heatdemand/qdemand_model.py diff --git a/Models/Heatdemand/qdemand_mosaik.py b/src/illuminator/models/Heatdemand/qdemand_mosaik.py similarity index 100% rename from Models/Heatdemand/qdemand_mosaik.py rename to src/illuminator/models/Heatdemand/qdemand_mosaik.py diff --git a/Models/Heatnetwork/__init__.py b/src/illuminator/models/Heatnetwork/__init__.py similarity index 100% rename from Models/Heatnetwork/__init__.py rename to src/illuminator/models/Heatnetwork/__init__.py diff --git a/Models/Heatnetwork/heat_network_model.py b/src/illuminator/models/Heatnetwork/heat_network_model.py similarity index 100% rename from Models/Heatnetwork/heat_network_model.py rename to src/illuminator/models/Heatnetwork/heat_network_model.py diff --git a/Models/Heatnetwork/heat_network_mosaik.py b/src/illuminator/models/Heatnetwork/heat_network_mosaik.py similarity index 100% rename from Models/Heatnetwork/heat_network_mosaik.py rename to src/illuminator/models/Heatnetwork/heat_network_mosaik.py diff --git a/Models/Heatproduct/qproduct_model.py b/src/illuminator/models/Heatproduct/qproduct_model.py similarity index 100% rename from Models/Heatproduct/qproduct_model.py rename to src/illuminator/models/Heatproduct/qproduct_model.py diff --git a/Models/Heatproduct/qproduct_mosaik.py b/src/illuminator/models/Heatproduct/qproduct_mosaik.py similarity index 100% rename from Models/Heatproduct/qproduct_mosaik.py rename to src/illuminator/models/Heatproduct/qproduct_mosaik.py diff --git a/Models/Heatpump/__init__.py b/src/illuminator/models/Heatpump/__init__.py similarity index 100% rename from Models/Heatpump/__init__.py rename to src/illuminator/models/Heatpump/__init__.py diff --git a/Models/Heatpump/controller/__init__.py b/src/illuminator/models/Heatpump/controller/__init__.py similarity index 100% rename from Models/Heatpump/controller/__init__.py rename to src/illuminator/models/Heatpump/controller/__init__.py diff --git a/Models/Heatpump/controller/controller.py b/src/illuminator/models/Heatpump/controller/controller.py similarity index 100% rename from Models/Heatpump/controller/controller.py rename to src/illuminator/models/Heatpump/controller/controller.py diff --git a/Models/Heatpump/controller/controller_mosaik.py b/src/illuminator/models/Heatpump/controller/controller_mosaik.py similarity index 100% rename from Models/Heatpump/controller/controller_mosaik.py rename to src/illuminator/models/Heatpump/controller/controller_mosaik.py diff --git a/Models/Heatpump/heatpump/Heat_Pump_Des.py b/src/illuminator/models/Heatpump/heatpump/Heat_Pump_Des.py similarity index 100% rename from Models/Heatpump/heatpump/Heat_Pump_Des.py rename to src/illuminator/models/Heatpump/heatpump/Heat_Pump_Des.py diff --git a/Models/Heatpump/heatpump/Heat_Pump_Model.py b/src/illuminator/models/Heatpump/heatpump/Heat_Pump_Model.py similarity index 100% rename from Models/Heatpump/heatpump/Heat_Pump_Model.py rename to src/illuminator/models/Heatpump/heatpump/Heat_Pump_Model.py diff --git a/Models/Heatpump/heatpump/Heat_Pump_mosaik.py b/src/illuminator/models/Heatpump/heatpump/Heat_Pump_mosaik.py similarity index 100% rename from Models/Heatpump/heatpump/Heat_Pump_mosaik.py rename to src/illuminator/models/Heatpump/heatpump/Heat_Pump_mosaik.py diff --git a/Models/Heatpump/heatpump/__init__.py b/src/illuminator/models/Heatpump/heatpump/__init__.py similarity index 100% rename from Models/Heatpump/heatpump/__init__.py rename to src/illuminator/models/Heatpump/heatpump/__init__.py diff --git a/Models/Heatpump/heatpump/cop_m_data.json b/src/illuminator/models/Heatpump/heatpump/cop_m_data.json similarity index 100% rename from Models/Heatpump/heatpump/cop_m_data.json rename to src/illuminator/models/Heatpump/heatpump/cop_m_data.json diff --git a/Models/Heatpump/heatpump/eta_s_data.json b/src/illuminator/models/Heatpump/heatpump/eta_s_data.json similarity index 100% rename from Models/Heatpump/heatpump/eta_s_data.json rename to src/illuminator/models/Heatpump/heatpump/eta_s_data.json diff --git a/Models/Heatpump/heatpump/heat_pump/components/Compressor.csv b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/Compressor.csv similarity index 99% rename from Models/Heatpump/heatpump/heat_pump/components/Compressor.csv rename to src/illuminator/models/Heatpump/heatpump/heat_pump/components/Compressor.csv index 4ea932e..934b154 100644 --- a/Models/Heatpump/heatpump/heat_pump/components/Compressor.csv +++ b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/Compressor.csv @@ -1,3 +1,3 @@ -label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign;P;P_set;P_var;eta_s;eta_s_set;eta_s_var;eta_s_char;eta_s_char_set;eta_s_char_param;pr;pr_set;pr_var;igva;igva_set;igva_var;char_map_eta_s;char_map_eta_s_set;char_map_eta_s_param;char_map_eta_s_group;char_map_pr;char_map_pr_set;char_map_pr_param;char_map_pr_group -compressor;Compressor;[];[];[];[];[];['eta_s'];['eta_s_char'];nan;False;False;7297.941518605683;False;False;0.8099999999998108;True;False;0x00000221CA90BE50;False;m;2.0106660686331317;False;False;0;False;False;0x00000221CA90B8E0;False;nan;default;0x00000221CA90B2E0;False;nan;default -compressor 2;Compressor;[];[];[];[];[];['eta_s'];['eta_s_char'];nan;False;False;7436.954360339684;False;False;0.8000000000003189;True;False;0x00000221CA90BD60;False;m;2.0;True;False;0;False;False;0x00000221CA91BF70;False;nan;default;0x00000221CA91BE80;False;nan;default +label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign;P;P_set;P_var;eta_s;eta_s_set;eta_s_var;eta_s_char;eta_s_char_set;eta_s_char_param;pr;pr_set;pr_var;igva;igva_set;igva_var;char_map_eta_s;char_map_eta_s_set;char_map_eta_s_param;char_map_eta_s_group;char_map_pr;char_map_pr_set;char_map_pr_param;char_map_pr_group +compressor;Compressor;[];[];[];[];[];['eta_s'];['eta_s_char'];nan;False;False;7297.941518605683;False;False;0.8099999999998108;True;False;0x00000221CA90BE50;False;m;2.0106660686331317;False;False;0;False;False;0x00000221CA90B8E0;False;nan;default;0x00000221CA90B2E0;False;nan;default +compressor 2;Compressor;[];[];[];[];[];['eta_s'];['eta_s_char'];nan;False;False;7436.954360339684;False;False;0.8000000000003189;True;False;0x00000221CA90BD60;False;m;2.0;True;False;0;False;False;0x00000221CA91BF70;False;nan;default;0x00000221CA91BE80;False;nan;default diff --git a/Models/Heatpump/heatpump/heat_pump/components/Condenser.csv b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/Condenser.csv similarity index 99% rename from Models/Heatpump/heatpump/heat_pump/components/Condenser.csv rename to src/illuminator/models/Heatpump/heatpump/heat_pump/components/Condenser.csv index c8d4df3..4b0ef2e 100644 --- a/Models/Heatpump/heatpump/heat_pump/components/Condenser.csv +++ b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/Condenser.csv @@ -1,2 +1,2 @@ -label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign;Q;Q_set;Q_var;kA;kA_set;kA_var;td_log;td_log_set;td_log_var;ttd_u;ttd_u_set;ttd_u_var;ttd_l;ttd_l_set;ttd_l_var;pr1;pr1_set;pr1_var;pr2;pr2_set;pr2_var;zeta1;zeta1_set;zeta1_var;zeta2;zeta2_set;zeta2_var;kA_char1;kA_char1_set;kA_char1_param;kA_char2;kA_char2_set;kA_char2_param;subcooling;subcooling_set -condenser;Condenser;[];[];[];[];[];['pr2', 'ttd_u'];['zeta2', 'kA_char'];nan;False;False;-60089.003969360216;False;False;3497.574175396918;False;False;17.180194316405338;False;False;15.000000000005684;True;False;19.562054189040737;False;False;0.99;True;False;0.99;True;False;28622263.925579123;False;False;227121.18050355616;False;False;0x00000221CA907910;False;m;0x00000221CA9070D0;False;m;False;True +label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign;Q;Q_set;Q_var;kA;kA_set;kA_var;td_log;td_log_set;td_log_var;ttd_u;ttd_u_set;ttd_u_var;ttd_l;ttd_l_set;ttd_l_var;pr1;pr1_set;pr1_var;pr2;pr2_set;pr2_var;zeta1;zeta1_set;zeta1_var;zeta2;zeta2_set;zeta2_var;kA_char1;kA_char1_set;kA_char1_param;kA_char2;kA_char2_set;kA_char2_param;subcooling;subcooling_set +condenser;Condenser;[];[];[];[];[];['pr2', 'ttd_u'];['zeta2', 'kA_char'];nan;False;False;-60089.003969360216;False;False;3497.574175396918;False;False;17.180194316405338;False;False;15.000000000005684;True;False;19.562054189040737;False;False;0.99;True;False;0.99;True;False;28622263.925579123;False;False;227121.18050355616;False;False;0x00000221CA907910;False;m;0x00000221CA9070D0;False;m;False;True diff --git a/Models/Heatpump/heatpump/heat_pump/components/CycleCloser.csv b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/CycleCloser.csv similarity index 99% rename from Models/Heatpump/heatpump/heat_pump/components/CycleCloser.csv rename to src/illuminator/models/Heatpump/heatpump/heat_pump/components/CycleCloser.csv index 81ce37f..0217def 100644 --- a/Models/Heatpump/heatpump/heat_pump/components/CycleCloser.csv +++ b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/CycleCloser.csv @@ -1,3 +1,3 @@ -label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign;mass_deviation;mass_deviation_set;mass_deviation_var;fluid_deviation;fluid_deviation_set;fluid_deviation_var -coolant cycle closer;CycleCloser;[];[];[];[];[];[];[];nan;False;False;0.0;False;False;0.0;False;False -consumer cycle closer;CycleCloser;[];[];[];[];[];[];[];nan;False;False;0.0;False;False;0.0;False;False +label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign;mass_deviation;mass_deviation_set;mass_deviation_var;fluid_deviation;fluid_deviation_set;fluid_deviation_var +coolant cycle closer;CycleCloser;[];[];[];[];[];[];[];nan;False;False;0.0;False;False;0.0;False;False +consumer cycle closer;CycleCloser;[];[];[];[];[];[];[];nan;False;False;0.0;False;False;0.0;False;False diff --git a/Models/Heatpump/heatpump/heat_pump/components/Drum.csv b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/Drum.csv similarity index 98% rename from Models/Heatpump/heatpump/heat_pump/components/Drum.csv rename to src/illuminator/models/Heatpump/heatpump/heat_pump/components/Drum.csv index 9083d06..e74d550 100644 --- a/Models/Heatpump/heatpump/heat_pump/components/Drum.csv +++ b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/Drum.csv @@ -1,2 +1,2 @@ -label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign -drum;Drum;[];[];[];[];[];[];[];nan;False;False +label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign +drum;Drum;[];[];[];[];[];[];[];nan;False;False diff --git a/Models/Heatpump/heatpump/heat_pump/components/HeatExchanger.csv b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/HeatExchanger.csv similarity index 99% rename from Models/Heatpump/heatpump/heat_pump/components/HeatExchanger.csv rename to src/illuminator/models/Heatpump/heatpump/heat_pump/components/HeatExchanger.csv index ffa37b2..07729c6 100644 --- a/Models/Heatpump/heatpump/heat_pump/components/HeatExchanger.csv +++ b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/HeatExchanger.csv @@ -1,4 +1,4 @@ -label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign;Q;Q_set;Q_var;kA;kA_set;kA_var;td_log;td_log_set;td_log_var;ttd_u;ttd_u_set;ttd_u_var;ttd_l;ttd_l_set;ttd_l_var;pr1;pr1_set;pr1_var;pr2;pr2_set;pr2_var;zeta1;zeta1_set;zeta1_var;zeta2;zeta2_set;zeta2_var;kA_char1;kA_char1_set;kA_char1_param;kA_char2;kA_char2_set;kA_char2_param -evaporator;HeatExchanger;[];[];[];[];[];['pr1', 'ttd_l'];['zeta1', 'kA_char'];nan;False;False;-48030.147160421286;False;False;12158.818691858422;False;False;3.950231381654075;False;False;6.880934957725003;False;False;1.9999999999722036;True;False;0.99;True;False;0.9899999999999999;True;False;15.74476180432841;False;False;2792508.1274253805;False;False;0x00000221CA8CED60;False;m;0x00000221CA8E4C10;False;m -superheater;HeatExchanger;[];[];[];[];[];['pr1', 'pr2', 'ttd_u'];['zeta1', 'zeta2', 'kA_char'];nan;False;False;-1278.954751582451;False;False;323.7670475495113;False;False;3.9502313816753385;False;False;1.9999999999991473;True;False;6.880934957725003;False;False;0.99;True;False;0.9899999999999999;True;False;15.919701237899956;False;False;1124614.9081354009;False;False;0x00000221CA90BA60;False;m;0x00000221CA913280;False;m -intercooler;HeatExchanger;[];[];[];[];[];['pr1', 'pr2'];['zeta1', 'zeta2', 'kA_char'];nan;False;False;-3956.8966610352154;False;False;185.0975712374313;False;False;21.37735592413345;False;False;19.83288602680335;False;False;22.999999999998238;False;False;0.98;True;False;0.98;True;False;8202627.927845489;False;False;139053.55525656772;False;False;0x00000221CA8F7B20;False;m;0x00000221CA90B5B0;False;m +label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign;Q;Q_set;Q_var;kA;kA_set;kA_var;td_log;td_log_set;td_log_var;ttd_u;ttd_u_set;ttd_u_var;ttd_l;ttd_l_set;ttd_l_var;pr1;pr1_set;pr1_var;pr2;pr2_set;pr2_var;zeta1;zeta1_set;zeta1_var;zeta2;zeta2_set;zeta2_var;kA_char1;kA_char1_set;kA_char1_param;kA_char2;kA_char2_set;kA_char2_param +evaporator;HeatExchanger;[];[];[];[];[];['pr1', 'ttd_l'];['zeta1', 'kA_char'];nan;False;False;-48030.147160421286;False;False;12158.818691858422;False;False;3.950231381654075;False;False;6.880934957725003;False;False;1.9999999999722036;True;False;0.99;True;False;0.9899999999999999;True;False;15.74476180432841;False;False;2792508.1274253805;False;False;0x00000221CA8CED60;False;m;0x00000221CA8E4C10;False;m +superheater;HeatExchanger;[];[];[];[];[];['pr1', 'pr2', 'ttd_u'];['zeta1', 'zeta2', 'kA_char'];nan;False;False;-1278.954751582451;False;False;323.7670475495113;False;False;3.9502313816753385;False;False;1.9999999999991473;True;False;6.880934957725003;False;False;0.99;True;False;0.9899999999999999;True;False;15.919701237899956;False;False;1124614.9081354009;False;False;0x00000221CA90BA60;False;m;0x00000221CA913280;False;m +intercooler;HeatExchanger;[];[];[];[];[];['pr1', 'pr2'];['zeta1', 'zeta2', 'kA_char'];nan;False;False;-3956.8966610352154;False;False;185.0975712374313;False;False;21.37735592413345;False;False;19.83288602680335;False;False;22.999999999998238;False;False;0.98;True;False;0.98;True;False;8202627.927845489;False;False;139053.55525656772;False;False;0x00000221CA8F7B20;False;m;0x00000221CA90B5B0;False;m diff --git a/Models/Heatpump/heatpump/heat_pump/components/HeatExchangerSimple.csv b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/HeatExchangerSimple.csv similarity index 99% rename from Models/Heatpump/heatpump/heat_pump/components/HeatExchangerSimple.csv rename to src/illuminator/models/Heatpump/heatpump/heat_pump/components/HeatExchangerSimple.csv index 7e9a01f..73b5dfe 100644 --- a/Models/Heatpump/heatpump/heat_pump/components/HeatExchangerSimple.csv +++ b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/HeatExchangerSimple.csv @@ -1,2 +1,2 @@ -label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign;Q;Q_set;Q_var;pr;pr_set;pr_var;zeta;zeta_set;zeta_var;D;D_set;D_var;L;L_set;L_var;ks;ks_set;ks_var;kA;kA_set;kA_var;kA_char;kA_char_set;kA_char_param;Tamb;Tamb_set;Tamb_var;dissipative;dissipative_set;hydro_group;kA_group;kA_char_group -consumer;HeatExchangerSimple;[];[];[];[];[];['pr'];['zeta'];nan;False;False;-60100.00000000001;True;False;0.99;True;False;224849.82408243592;False;False;1;False;False;1;False;False;0.0001;False;False;1;False;False;0x00000221CA907040;False;m;1;False;False;True;False;default;default;default +label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign;Q;Q_set;Q_var;pr;pr_set;pr_var;zeta;zeta_set;zeta_var;D;D_set;D_var;L;L_set;L_var;ks;ks_set;ks_var;kA;kA_set;kA_var;kA_char;kA_char_set;kA_char_param;Tamb;Tamb_set;Tamb_var;dissipative;dissipative_set;hydro_group;kA_group;kA_char_group +consumer;HeatExchangerSimple;[];[];[];[];[];['pr'];['zeta'];nan;False;False;-60100.00000000001;True;False;0.99;True;False;224849.82408243592;False;False;1;False;False;1;False;False;0.0001;False;False;1;False;False;0x00000221CA907040;False;m;1;False;False;True;False;default;default;default diff --git a/Models/Heatpump/heatpump/heat_pump/components/Pump.csv b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/Pump.csv similarity index 99% rename from Models/Heatpump/heatpump/heat_pump/components/Pump.csv rename to src/illuminator/models/Heatpump/heatpump/heat_pump/components/Pump.csv index 8c31e5c..5a04ed7 100644 --- a/Models/Heatpump/heatpump/heat_pump/components/Pump.csv +++ b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/Pump.csv @@ -1,4 +1,4 @@ -label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign;P;P_set;P_var;eta_s;eta_s_set;eta_s_var;pr;pr_set;pr_var;eta_s_char;eta_s_char_set;eta_s_char_param;flow_char;flow_char_set;flow_char_param -condenser recirculation pump;Pump;[];[];[];[];[];['eta_s'];['eta_s_char'];nan;False;False;10.996030639743704;False;False;0.8000000035744604;True;False;1.020304050607081;False;False;0x00000221CA91F9D0;False;v;0x00000221CA91F730;False;v -evaporator recirculation pump;Pump;[];[];[];[];[];['eta_s'];['eta_s_char'];nan;False;False;1.902839446150666;False;False;0.8000000009788523;True;False;1.0101010101010102;False;False;0x00000221CA907400;False;v;0x00000221CA907130;False;v -ambient pump;Pump;[];[];[];[];[];['eta_s'];['eta_s_char'];nan;False;False;98.42100100966472;False;False;0.799999999995365;True;False;1.0001000000000002;False;False;0x00000221CA8F7310;False;v;0x00000221CA913250;False;v +label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign;P;P_set;P_var;eta_s;eta_s_set;eta_s_var;pr;pr_set;pr_var;eta_s_char;eta_s_char_set;eta_s_char_param;flow_char;flow_char_set;flow_char_param +condenser recirculation pump;Pump;[];[];[];[];[];['eta_s'];['eta_s_char'];nan;False;False;10.996030639743704;False;False;0.8000000035744604;True;False;1.020304050607081;False;False;0x00000221CA91F9D0;False;v;0x00000221CA91F730;False;v +evaporator recirculation pump;Pump;[];[];[];[];[];['eta_s'];['eta_s_char'];nan;False;False;1.902839446150666;False;False;0.8000000009788523;True;False;1.0101010101010102;False;False;0x00000221CA907400;False;v;0x00000221CA907130;False;v +ambient pump;Pump;[];[];[];[];[];['eta_s'];['eta_s_char'];nan;False;False;98.42100100966472;False;False;0.799999999995365;True;False;1.0001000000000002;False;False;0x00000221CA8F7310;False;v;0x00000221CA913250;False;v diff --git a/Models/Heatpump/heatpump/heat_pump/components/Sink.csv b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/Sink.csv similarity index 98% rename from Models/Heatpump/heatpump/heat_pump/components/Sink.csv rename to src/illuminator/models/Heatpump/heatpump/heat_pump/components/Sink.csv index 15a2425..b8dd716 100644 --- a/Models/Heatpump/heatpump/heat_pump/components/Sink.csv +++ b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/Sink.csv @@ -1,3 +1,3 @@ -label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign -sink ambient;Sink;[];[];[];[];[];[];[];nan;False;False -sink intercool;Sink;[];[];[];[];[];[];[];nan;False;False +label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign +sink ambient;Sink;[];[];[];[];[];[];[];nan;False;False +sink intercool;Sink;[];[];[];[];[];[];[];nan;False;False diff --git a/Models/Heatpump/heatpump/heat_pump/components/Source.csv b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/Source.csv similarity index 98% rename from Models/Heatpump/heatpump/heat_pump/components/Source.csv rename to src/illuminator/models/Heatpump/heatpump/heat_pump/components/Source.csv index 07a6b65..ac5bfb9 100644 --- a/Models/Heatpump/heatpump/heat_pump/components/Source.csv +++ b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/Source.csv @@ -1,3 +1,3 @@ -label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign -source ambient;Source;[];[];[];[];[];[];[];nan;False;False -source intercool;Source;[];[];[];[];[];[];[];nan;False;False +label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign +source ambient;Source;[];[];[];[];[];[];[];nan;False;False +source intercool;Source;[];[];[];[];[];[];[];nan;False;False diff --git a/Models/Heatpump/heatpump/heat_pump/components/Valve.csv b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/Valve.csv similarity index 99% rename from Models/Heatpump/heatpump/heat_pump/components/Valve.csv rename to src/illuminator/models/Heatpump/heatpump/heat_pump/components/Valve.csv index 4671b47..66d23b7 100644 --- a/Models/Heatpump/heatpump/heat_pump/components/Valve.csv +++ b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/Valve.csv @@ -1,2 +1,2 @@ -label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign;pr;pr_set;pr_var;zeta;zeta_set;zeta_var;dp_char;dp_char_set;dp_char_param -valve;Valve;[];[];[];[];[];[];[];nan;False;False;0.2589009180823076;False;False;1949876400.4142694;False;False;0x00000221CA907430;False;m +label;comp_type;busses;bus_param;bus_P_ref;bus_char;bus_base;design;offdesign;design_path;local_design;local_offdesign;pr;pr_set;pr_var;zeta;zeta_set;zeta_var;dp_char;dp_char_set;dp_char_param +valve;Valve;[];[];[];[];[];[];[];nan;False;False;0.2589009180823076;False;False;1949876400.4142694;False;False;0x00000221CA907430;False;m diff --git a/Models/Heatpump/heatpump/heat_pump/components/char_line.csv b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/char_line.csv similarity index 99% rename from Models/Heatpump/heatpump/heat_pump/components/char_line.csv rename to src/illuminator/models/Heatpump/heatpump/heat_pump/components/char_line.csv index f364fe9..7ab88bf 100644 --- a/Models/Heatpump/heatpump/heat_pump/components/char_line.csv +++ b/src/illuminator/models/Heatpump/heatpump/heat_pump/components/char_line.csv @@ -1,19 +1,19 @@ -id;type;x;y;extrapolate -0x00000221CA91F9D0;CharLine;[0.071, 0.282, 0.635, 0.776, 0.917, 1.0, 1.128, 1.27, 1.41, 1.763, 2.115, 2.5];[0.25, 0.547, 0.9, 0.965, 0.995, 1.0, 0.99, 0.959, 0.911, 0.737, 0.519, 0.25];False -0x00000221CA91F730;CharLine;[0.0, 1.0];[1.0, 1.0];False -0x00000221CA907040;CharLine;[0.0, 0.01084, 0.03655, 0.07779, 0.13389, 0.20417, 0.28796, 0.38458, 0.49337, 0.61364, 0.74473, 0.88595, 1.0, 1.19613, 1.36374, 1.53879, 1.72061, 1.90854, 2.10189, 2.29999, 2.50217, 2.70776, 2.91608, 3.0];[0.01, 0.09598, 0.18995, 0.28191, 0.37185, 0.45974, 0.54557, 0.62932, 0.71098, 0.79053, 0.86796, 0.94324, 1.0, 1.0873, 1.15605, 1.22259, 1.28691, 1.34898, 1.40879, 1.46633, 1.52157, 1.5745, 1.62511, 1.645];False -0x00000221CA907910;CharLine;[0.0, 0.02476, 0.08114, 0.167, 0.28023, 0.41869, 0.58027, 0.76284, 0.96428, 1.0, 1.18245, 1.41525, 1.66053, 1.91619, 2.18009, 2.4501, 2.72412, 3.0];[0.01, 0.19836, 0.37181, 0.52217, 0.65124, 0.76085, 0.8528, 0.92891, 0.99099, 1.0, 1.04084, 1.0803, 1.11116, 1.13524, 1.15435, 1.1703, 1.18492, 1.2];False -0x00000221CA9070D0;CharLine;[0.0, 0.10449, 0.23774, 0.40054, 0.59243, 0.81296, 1.0, 1.0617, 1.33818, 1.64196, 1.97259, 2.32963, 2.71261, 3.0012];[0.01, 0.21181, 0.40637, 0.58484, 0.74792, 0.89627, 1.0, 1.03058, 1.15152, 1.25977, 1.35602, 1.44093, 1.51519, 1.562];False -0x00000221CA907430;CharLine;[0.0, 1.0];[1.0, 1.0];False -0x00000221CA907400;CharLine;[0.071, 0.282, 0.635, 0.776, 0.917, 1.0, 1.128, 1.27, 1.41, 1.763, 2.115, 2.5];[0.25, 0.547, 0.9, 0.965, 0.995, 1.0, 0.99, 0.959, 0.911, 0.737, 0.519, 0.25];False -0x00000221CA907130;CharLine;[0.0, 1.0];[1.0, 1.0];False -0x00000221CA8CED60;CharLine;[0.0, 0.01084, 0.03655, 0.07779, 0.13389, 0.20417, 0.28796, 0.38458, 0.49337, 0.61364, 0.74473, 0.88595, 1.0, 1.19613, 1.36374, 1.53879, 1.72061, 1.90854, 2.10189, 2.29999, 2.50217, 2.70776, 2.91608, 3.0];[0.01, 0.09598, 0.18995, 0.28191, 0.37185, 0.45974, 0.54557, 0.62932, 0.71098, 0.79053, 0.86796, 0.94324, 1.0, 1.0873, 1.15605, 1.22259, 1.28691, 1.34898, 1.40879, 1.46633, 1.52157, 1.5745, 1.62511, 1.645];False -0x00000221CA8E4C10;CharLine;[0.0, 0.00412, 0.0076, 0.01101, 0.01488, 0.0211, 0.02758, 0.0362, 0.04751, 0.06206, 0.08041, 0.10312, 0.13073, 0.1638, 0.20288, 0.24854, 0.30132, 0.37528, 0.45378, 0.54212, 0.64561, 0.76955, 0.91927, 1.0, 1.10006, 1.31723, 1.57609, 1.88195, 2.24011, 2.65589, 3.0];[0.01, 0.04969, 0.10554, 0.16642, 0.2312, 0.29888, 0.36806, 0.43773, 0.50677, 0.57404, 0.6384, 0.69873, 0.75388, 0.80274, 0.84415, 0.87699, 0.90012, 0.92187, 0.94082, 0.95729, 0.97163, 0.98417, 0.99525, 1.0, 1.00521, 1.01439, 1.02312, 1.03175, 1.0406, 1.05002, 1.0575];False -0x00000221CA8F7310;CharLine;[0.071, 0.282, 0.635, 0.776, 0.917, 1.0, 1.128, 1.27, 1.41, 1.763, 2.115, 2.5];[0.25, 0.547, 0.9, 0.965, 0.995, 1.0, 0.99, 0.959, 0.911, 0.737, 0.519, 0.25];False -0x00000221CA913250;CharLine;[0.0, 1.0];[1.0, 1.0];False -0x00000221CA90BA60;CharLine;[0.0, 0.01084, 0.03655, 0.07779, 0.13389, 0.20417, 0.28796, 0.38458, 0.49337, 0.61364, 0.74473, 0.88595, 1.0, 1.19613, 1.36374, 1.53879, 1.72061, 1.90854, 2.10189, 2.29999, 2.50217, 2.70776, 2.91608, 3.0];[0.01, 0.09598, 0.18995, 0.28191, 0.37185, 0.45974, 0.54557, 0.62932, 0.71098, 0.79053, 0.86796, 0.94324, 1.0, 1.0873, 1.15605, 1.22259, 1.28691, 1.34898, 1.40879, 1.46633, 1.52157, 1.5745, 1.62511, 1.645];False -0x00000221CA913280;CharLine;[0.0, 0.10449, 0.23774, 0.40054, 0.59243, 0.81296, 1.0, 1.0617, 1.33818, 1.64196, 1.97259, 2.32963, 2.71261, 3.0012];[0.01, 0.21181, 0.40637, 0.58484, 0.74792, 0.89627, 1.0, 1.03058, 1.15152, 1.25977, 1.35602, 1.44093, 1.51519, 1.562];False -0x00000221CA90BE50;CharLine;[0.49, 0.55782, 0.62612, 0.69418, 0.76132, 0.82682, 0.89, 0.95016, 1.0, 1.04326, 1.07753, 1.10916, 1.13795, 1.16365, 1.18604, 1.2049, 1.22];[0.78, 0.82066, 0.86025, 0.89742, 0.93083, 0.95914, 0.981, 0.99507, 1.0, 0.99733, 0.98913, 0.97496, 0.95435, 0.92687, 0.89205, 0.84944, 0.79859];False -0x00000221CA90BD60;CharLine;[0.49, 0.55782, 0.62612, 0.69418, 0.76132, 0.82682, 0.89, 0.95016, 1.0, 1.04326, 1.07753, 1.10916, 1.13795, 1.16365, 1.18604, 1.2049, 1.22];[0.78, 0.82066, 0.86025, 0.89742, 0.93083, 0.95914, 0.981, 0.99507, 1.0, 0.99733, 0.98913, 0.97496, 0.95435, 0.92687, 0.89205, 0.84944, 0.79859];False -0x00000221CA8F7B20;CharLine;[0.0, 0.01084, 0.03655, 0.07779, 0.13389, 0.20417, 0.28796, 0.38458, 0.49337, 0.61364, 0.74473, 0.88595, 1.0, 1.19613, 1.36374, 1.53879, 1.72061, 1.90854, 2.10189, 2.29999, 2.50217, 2.70776, 2.91608, 3.0];[0.01, 0.09598, 0.18995, 0.28191, 0.37185, 0.45974, 0.54557, 0.62932, 0.71098, 0.79053, 0.86796, 0.94324, 1.0, 1.0873, 1.15605, 1.22259, 1.28691, 1.34898, 1.40879, 1.46633, 1.52157, 1.5745, 1.62511, 1.645];False -0x00000221CA90B5B0;CharLine;[0.0, 0.10449, 0.23774, 0.40054, 0.59243, 0.81296, 1.0, 1.0617, 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2.10189, 2.29999, 2.50217, 2.70776, 2.91608, 3.0];[0.01, 0.09598, 0.18995, 0.28191, 0.37185, 0.45974, 0.54557, 0.62932, 0.71098, 0.79053, 0.86796, 0.94324, 1.0, 1.0873, 1.15605, 1.22259, 1.28691, 1.34898, 1.40879, 1.46633, 1.52157, 1.5745, 1.62511, 1.645];False +0x00000221CA8E4C10;CharLine;[0.0, 0.00412, 0.0076, 0.01101, 0.01488, 0.0211, 0.02758, 0.0362, 0.04751, 0.06206, 0.08041, 0.10312, 0.13073, 0.1638, 0.20288, 0.24854, 0.30132, 0.37528, 0.45378, 0.54212, 0.64561, 0.76955, 0.91927, 1.0, 1.10006, 1.31723, 1.57609, 1.88195, 2.24011, 2.65589, 3.0];[0.01, 0.04969, 0.10554, 0.16642, 0.2312, 0.29888, 0.36806, 0.43773, 0.50677, 0.57404, 0.6384, 0.69873, 0.75388, 0.80274, 0.84415, 0.87699, 0.90012, 0.92187, 0.94082, 0.95729, 0.97163, 0.98417, 0.99525, 1.0, 1.00521, 1.01439, 1.02312, 1.03175, 1.0406, 1.05002, 1.0575];False +0x00000221CA8F7310;CharLine;[0.071, 0.282, 0.635, 0.776, 0.917, 1.0, 1.128, 1.27, 1.41, 1.763, 2.115, 2.5];[0.25, 0.547, 0.9, 0.965, 0.995, 1.0, 0.99, 0.959, 0.911, 0.737, 0.519, 0.25];False +0x00000221CA913250;CharLine;[0.0, 1.0];[1.0, 1.0];False +0x00000221CA90BA60;CharLine;[0.0, 0.01084, 0.03655, 0.07779, 0.13389, 0.20417, 0.28796, 0.38458, 0.49337, 0.61364, 0.74473, 0.88595, 1.0, 1.19613, 1.36374, 1.53879, 1.72061, 1.90854, 2.10189, 2.29999, 2.50217, 2.70776, 2.91608, 3.0];[0.01, 0.09598, 0.18995, 0.28191, 0.37185, 0.45974, 0.54557, 0.62932, 0.71098, 0.79053, 0.86796, 0.94324, 1.0, 1.0873, 1.15605, 1.22259, 1.28691, 1.34898, 1.40879, 1.46633, 1.52157, 1.5745, 1.62511, 1.645];False +0x00000221CA913280;CharLine;[0.0, 0.10449, 0.23774, 0.40054, 0.59243, 0.81296, 1.0, 1.0617, 1.33818, 1.64196, 1.97259, 2.32963, 2.71261, 3.0012];[0.01, 0.21181, 0.40637, 0.58484, 0.74792, 0.89627, 1.0, 1.03058, 1.15152, 1.25977, 1.35602, 1.44093, 1.51519, 1.562];False +0x00000221CA90BE50;CharLine;[0.49, 0.55782, 0.62612, 0.69418, 0.76132, 0.82682, 0.89, 0.95016, 1.0, 1.04326, 1.07753, 1.10916, 1.13795, 1.16365, 1.18604, 1.2049, 1.22];[0.78, 0.82066, 0.86025, 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kg;418.74460350955326;False;nan;nan;nan;False;29.99999999999801;C;nan;True;nan;nan;nan;False;-1.0;-;nan;False;nan;nan;nan;False;0.008595757029785479;m3 / s;nan;False;nan;nan;nan;False;nan;C;nan;False;nan;nan;nan;False;nan;False;1;1;False;0;0;False;0;0;False;False +0x00000221CA8EB220;source intercool;out1;intercooler;in2;source intercool:out1_intercooler:in2;[];[];nan;False;False;0.21824310705281155;kg / s;0.21824310705281155;False;nan;nan;nan;False;1.5;bar;1.5;True;nan;nan;nan;False;406.2006013740182;kJ / kg;406.2006013740182;False;nan;nan;nan;False;6.999999999999773;C;nan;True;nan;nan;nan;False;-1.0;-;nan;False;nan;nan;nan;False;0.11691376677128805;m3 / s;nan;False;nan;nan;nan;False;nan;C;nan;False;nan;nan;nan;False;nan;False;0;0;True;1;1;True;0;0;True;False +0x00000221CA8EB370;intercooler;out2;sink intercool;in1;intercooler:out2_sink intercool:in1;['T'];[];nan;False;False;0.21824310705281155;kg / s;0.21824310705281155;False;nan;nan;nan;False;1.47;bar;1.47;False;nan;nan;nan;False;424.3312846953371;kJ / kg;424.3312846953371;False;nan;nan;nan;False;24.999999999999773;C;nan;True;nan;nan;nan;False;-1.0;-;nan;False;nan;nan;nan;False;0.1270011584219975;m3 / s;nan;False;nan;nan;nan;False;nan;C;nan;False;nan;nan;nan;False;nan;False;0;0;False;1;1;False;0;0;False;False +0x00000221CA8E4C40;compressor 2;out1;coolant cycle closer;in1;compressor 2:out1_coolant cycle closer:in1;[];[];nan;False;False;0.3372774738546291;kg / s;0.3372774738546291;False;nan;nan;nan;False;19.42688367433858;bar;19.42688367433858;False;nan;nan;nan;False;440.79456218406915;kJ / kg;440.79456218406915;False;nan;nan;nan;False;73.35998911758833;C;nan;False;nan;nan;nan;False;-1.0;-;nan;False;nan;nan;nan;False;0.0046543510355149115;m3 / s;nan;False;nan;nan;nan;False;nan;C;nan;False;nan;nan;nan;False;nan;False;1;1;False;0;0;False;0;0;False;False diff --git a/Models/Heatpump/heatpump/heat_pump/network.json b/src/illuminator/models/Heatpump/heatpump/heat_pump/network.json similarity index 94% rename from Models/Heatpump/heatpump/heat_pump/network.json rename to src/illuminator/models/Heatpump/heatpump/heat_pump/network.json index cb9d794..64244f7 100644 --- a/Models/Heatpump/heatpump/heat_pump/network.json +++ b/src/illuminator/models/Heatpump/heatpump/heat_pump/network.json @@ -1,26 +1,26 @@ -{ - "m_unit": "kg / s", - "m_range": [ - -1000000000000.0, - 1000000000000.0 - ], - "p_unit": "bar", - "p_range": [ - 0.002, - 300.0 - ], - "h_unit": "kJ / kg", - "h_range": [ - 1.0, - 7000.0 - ], - "T_unit": "C", - "x_unit": "-", - "v_unit": "m3 / s", - "s_unit": "J / kgK", - "fluids": { - "R22": "HEOS", - "air": "HEOS", - "water": "HEOS" - } +{ + "m_unit": "kg / s", + "m_range": [ + -1000000000000.0, + 1000000000000.0 + ], + "p_unit": "bar", + "p_range": [ + 0.002, + 300.0 + ], + "h_unit": "kJ / kg", + "h_range": [ + 1.0, + 7000.0 + ], + "T_unit": "C", + "x_unit": "-", + "v_unit": "m3 / s", + "s_unit": "J / kgK", + "fluids": { + "R22": "HEOS", + "air": "HEOS", + "water": "HEOS" + } } \ No newline at end of file diff --git a/Models/Heatpump/hotwatertanksim/__init__.py b/src/illuminator/models/Heatpump/hotwatertanksim/__init__.py similarity index 100% rename from Models/Heatpump/hotwatertanksim/__init__.py rename to src/illuminator/models/Heatpump/hotwatertanksim/__init__.py diff --git a/Models/Heatpump/hotwatertanksim/hotwatertank.py b/src/illuminator/models/Heatpump/hotwatertanksim/hotwatertank.py similarity index 100% rename from Models/Heatpump/hotwatertanksim/hotwatertank.py rename to src/illuminator/models/Heatpump/hotwatertanksim/hotwatertank.py diff --git a/Models/Heatpump/hotwatertanksim/hotwatertank_mosaik.py b/src/illuminator/models/Heatpump/hotwatertanksim/hotwatertank_mosaik.py similarity index 100% rename from Models/Heatpump/hotwatertanksim/hotwatertank_mosaik.py rename to src/illuminator/models/Heatpump/hotwatertanksim/hotwatertank_mosaik.py diff --git a/Models/Heatstorage/__init__.py b/src/illuminator/models/Heatstorage/__init__.py similarity index 100% rename from Models/Heatstorage/__init__.py rename to src/illuminator/models/Heatstorage/__init__.py diff --git a/Models/Heatstorage/qstorage_model.py b/src/illuminator/models/Heatstorage/qstorage_model.py similarity index 100% rename from Models/Heatstorage/qstorage_model.py rename to src/illuminator/models/Heatstorage/qstorage_model.py diff --git a/Models/Heatstorage/qstorage_mosaik.py b/src/illuminator/models/Heatstorage/qstorage_mosaik.py similarity index 100% rename from Models/Heatstorage/qstorage_mosaik.py rename to src/illuminator/models/Heatstorage/qstorage_mosaik.py diff --git a/Models/Hotwaterstorage/__init__.py b/src/illuminator/models/Hotwaterstorage/__init__.py similarity index 100% rename from Models/Hotwaterstorage/__init__.py rename to src/illuminator/models/Hotwaterstorage/__init__.py diff --git a/Models/Hotwaterstorage/hotwaterstorage_model.py b/src/illuminator/models/Hotwaterstorage/hotwaterstorage_model.py similarity index 100% rename from Models/Hotwaterstorage/hotwaterstorage_model.py rename to src/illuminator/models/Hotwaterstorage/hotwaterstorage_model.py diff --git a/Models/Hotwaterstorage/hotwaterstorage_mosaik.py b/src/illuminator/models/Hotwaterstorage/hotwaterstorage_mosaik.py similarity index 100% rename from Models/Hotwaterstorage/hotwaterstorage_mosaik.py rename to src/illuminator/models/Hotwaterstorage/hotwaterstorage_mosaik.py diff --git a/Models/Load/__init__.py b/src/illuminator/models/Load/__init__.py similarity index 100% rename from Models/Load/__init__.py rename to src/illuminator/models/Load/__init__.py diff --git a/Models/Load/load_model.py b/src/illuminator/models/Load/load_model.py similarity index 97% rename from Models/Load/load_model.py rename to src/illuminator/models/Load/load_model.py index d5f7bbb..5ec4799 100644 --- a/Models/Load/load_model.py +++ b/src/illuminator/models/Load/load_model.py @@ -1,19 +1,19 @@ -class load_python(): - - def __init__(self, houses, output_type,resolution=15): - self.consumption = 0 - self.houses = houses - self.output_type = output_type - self.resolution=resolution#min - - def demand(self, load): - # incoming load is in kWh at every 15 min interval - # incoming value of load is in kWh - - if self.output_type == 'energy': - self.consumption = (self.houses * load) # kWh - elif self.output_type == 'power': - self.consumption = (self.houses * load)/60*self.resolution # kWh - - re_params = {'load_dem': self.consumption} - return re_params +class load_python(): + + def __init__(self, houses, output_type,resolution=15): + self.consumption = 0 + self.houses = houses + self.output_type = output_type + self.resolution=resolution#min + + def demand(self, load): + # incoming load is in kWh at every 15 min interval + # incoming value of load is in kWh + + if self.output_type == 'energy': + self.consumption = (self.houses * load) # kWh + elif self.output_type == 'power': + self.consumption = (self.houses * load)/60*self.resolution # kWh + + re_params = {'load_dem': self.consumption} + return re_params diff --git a/Models/Load/load_mosaik.py b/src/illuminator/models/Load/load_mosaik.py similarity index 97% rename from Models/Load/load_mosaik.py rename to src/illuminator/models/Load/load_mosaik.py index 3c81497..f01b4be 100644 --- a/Models/Load/load_mosaik.py +++ b/src/illuminator/models/Load/load_mosaik.py @@ -1,86 +1,86 @@ -import mosaik_api -#import Load.load_model as load_model -try: - import Models.Load.load_model as load_model -except ModuleNotFoundError: - import load_model as load_model -else: - import Models.Load.load_model as load_model - -import pandas as pd - -META = { - 'type': 'event-based', - - 'models': { - 'loadmodel': { - 'public': True, - 'params': ['sim_start', 'houses', 'output_type'], - 'attrs': ['load_id','load_dem','load', 'forecast'], - 'trigger': [], - }, - }, -} - - -class loadSim(mosaik_api.Simulator): - def __init__(self): - super().__init__(META) - self.eid_prefix = 'load_' # every entity that we create will start with 'wind_' - self.entities = {} # we store the model entity of our technology model - self._cache = {} # used in the step function to store the values after running the python model of the technology - self.time = 0 - # self.start_date = None - - # the following API call is will be called only once when we initiate the model in the scenario file. - # we can use this to pass additional initialization tasks - - def init(self, sid, time_resolution): - # print('hi, you have entered init') # working (20220524) - self.time_resolution = time_resolution - # print('Exited init os SimAPI') # working (20220524) - return self.meta - - def create(self, num, model, sim_start, **model_params): - # print('hi, you have entered create of SimAPI') # working (20220524) - self.start = pd.to_datetime(sim_start) - # print(type(self.entities)) - # next_eid = len(self.entities) - # print('from create of SimAPI:', next_eid) - entities = [] - # print(next_eid) # working (20220524) - - for i in range(num): - eid = '%s%d' % (self.eid_prefix, i) - model_instance = load_model.load_python(**model_params) - self.entities[eid] = model_instance - entities.append({'eid': eid, 'type': model}) - return entities - - def step(self, time, inputs, max_advance): - self.time = time - current_time = (self.start + - pd.Timedelta(time * self.time_resolution, - unit='seconds')) # timedelta represents a duration of time - print('from load %%%%%%%%%%%', current_time) - - for eid, attrs in inputs.items(): - - for attr, vals in attrs.items(): - self._cache[eid] = self.entities[eid].demand(list(vals.values())[0]) - return time + 900 - - def get_data(self, outputs): - data = {} - for eid, attrs in outputs.items(): - data[eid] = {} - for attr in attrs: - if attr == 'load_dem': - data[eid][attr] = self._cache[eid]['load_dem'] - data['time'] = self.time - return data -def main(): - mosaik_api.start_simulation(loadSim(), 'load Simulator') - -if __name__ == "__main__": - main() +import mosaik_api +#import Load.load_model as load_model +try: + import Models.Load.load_model as load_model +except ModuleNotFoundError: + import load_model as load_model +else: + import Models.Load.load_model as load_model + +import pandas as pd + +META = { + 'type': 'event-based', + + 'models': { + 'loadmodel': { + 'public': True, + 'params': ['sim_start', 'houses', 'output_type'], + 'attrs': ['load_id','load_dem','load', 'forecast'], + 'trigger': [], + }, + }, +} + + +class loadSim(mosaik_api.Simulator): + def __init__(self): + super().__init__(META) + self.eid_prefix = 'load_' # every entity that we create will start with 'wind_' + self.entities = {} # we store the model entity of our technology model + self._cache = {} # used in the step function to store the values after running the python model of the technology + self.time = 0 + # self.start_date = None + + # the following API call is will be called only once when we initiate the model in the scenario file. + # we can use this to pass additional initialization tasks + + def init(self, sid, time_resolution): + # print('hi, you have entered init') # working (20220524) + self.time_resolution = time_resolution + # print('Exited init os SimAPI') # working (20220524) + return self.meta + + def create(self, num, model, sim_start, **model_params): + # print('hi, you have entered create of SimAPI') # working (20220524) + self.start = pd.to_datetime(sim_start) + # print(type(self.entities)) + # next_eid = len(self.entities) + # print('from create of SimAPI:', next_eid) + entities = [] + # print(next_eid) # working (20220524) + + for i in range(num): + eid = '%s%d' % (self.eid_prefix, i) + model_instance = load_model.load_python(**model_params) + self.entities[eid] = model_instance + entities.append({'eid': eid, 'type': model}) + return entities + + def step(self, time, inputs, max_advance): + self.time = time + current_time = (self.start + + pd.Timedelta(time * self.time_resolution, + unit='seconds')) # timedelta represents a duration of time + print('from load %%%%%%%%%%%', current_time) + + for eid, attrs in inputs.items(): + + for attr, vals in attrs.items(): + self._cache[eid] = self.entities[eid].demand(list(vals.values())[0]) + return time + 900 + + def get_data(self, outputs): + data = {} + for eid, attrs in outputs.items(): + data[eid] = {} + for attr in attrs: + if attr == 'load_dem': + data[eid][attr] = self._cache[eid]['load_dem'] + data['time'] = self.time + return data +def main(): + mosaik_api.start_simulation(loadSim(), 'load Simulator') + +if __name__ == "__main__": + main() diff --git a/Models/LoadinNetSim/demo_lv_grid.csv b/src/illuminator/models/LoadinNetSim/demo_lv_grid.csv similarity index 98% rename from Models/LoadinNetSim/demo_lv_grid.csv rename to src/illuminator/models/LoadinNetSim/demo_lv_grid.csv index 6d387dd..36f08be 100644 --- a/Models/LoadinNetSim/demo_lv_grid.csv +++ b/src/illuminator/models/LoadinNetSim/demo_lv_grid.csv @@ -1,98 +1,98 @@ -Time,Load R1,Load R11,Load R15,Load R16,Load R17,Load R18,Load I2,Load C1,Load C12,Load C13,Load C14,Load C17,Load C18,Load C19,Load C20 -21/05/2021 00:00,0,0.04465,0.050987039,0.046932308,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 00:15,0,0.03325,0.072624476,0.000780409,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 00:30,0,0.00367331,0.018730684,0.062946276,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 00:45,0,0.065567666,0.079475071,0.048890031,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 01:00,0,0.028552826,0.067862699,0.082755417,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 01:15,0,0.049500027,0.08583402,0.083813722,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 01:30,0,0.001925076,0.096205226,0.068046741,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 01:45,0,0.02089638,0.045369747,0.025362735,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 02:00,0,0.001478866,0.043751709,0.097888967,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 02:15,0,0.05901514,0.095131897,0.040972352,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 02:30,0,0.003147115,0.059370002,0.072953983,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 02:45,0,0.064530725,0.040778998,0.040470587,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 03:00,0,0.006656381,0.049190997,0.025927774,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 03:15,0,0.057799612,0.01551747,0.075469594,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 03:30,0,0.005728434,0.020574384,0.026333838,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 03:45,0,0.079133923,0.057091217,0.069827736,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 04:00,0,0.041088633,0.097550571,0.018737687,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 04:15,0,0.006393314,0.098380769,0.068399196,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 04:30,0,0.063531806,0.071450588,0.061738424,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 04:45,0,0.022687537,0.020009999,0.017715779,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 05:00,0,0.027699735,0.011327993,0.097334976,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 05:15,0,0.003517351,0.002111273,0.051951765,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 05:30,0,0.087054165,0.029438546,0.04258301,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 05:45,0,0.07934243,0.04634681,0.073237361,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 06:00,0,0.061876744,0.008056591,0.045470903,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 06:15,0,0.061030652,0.049754238,0.018132878,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 06:30,0,0.003545758,0.024299307,0.049406803,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 06:45,0,0.084873815,0.027931337,0.079406145,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 07:00,0,0.009295148,0.047097834,0.03286898,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 07:15,0,0.085348866,0.026703451,0.000526193,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 07:30,0,0.026717162,0.073135837,0.016247542,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 07:45,0,0.079816209,0.063077807,0.071677038,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 08:00,0,0.009829587,0.099327364,0.029350832,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 08:15,0,0.079031944,0.080356696,0.078830769,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 08:30,0,0.086938461,0.029622218,0.024696469,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 08:45,0,0.059844444,0.013515176,0.042031177,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 09:00,0,0.024479972,0.075607984,0.024619207,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 09:15,0,0.087195329,0.068678656,0.021941345,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 09:30,0,0.052717956,0.018766793,0.074336232,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 09:45,0,0.076482529,0.05172924,0.065237819,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 10:00,0,0.036036275,0.087551554,0.084532805,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 10:15,0,0.021697076,0.043730242,0.044518336,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 10:30,0,0.00263541,0.077281168,0.064816018,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 10:45,0,0.089636011,0.025226663,0.040283757,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 11:00,0,0.035344966,0.036108664,0.059205591,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 11:15,0,0.012754958,0.078418819,0.080290414,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 11:30,0,0.008061103,0.019000545,0.083630313,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 11:45,0,0.021918465,0.031797403,0.001951451,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 12:00,0,0.029282521,0.009423415,0.070827775,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 12:15,0,0.079010528,0.012194532,0.033301572,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 12:30,0,0.059293193,0.021408183,0.013166791,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 12:45,0,0.030437755,0.00352579,0.044899833,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 13:00,0,0.085024896,0.071500828,0.084061857,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 13:15,0,0.026539935,0.042645873,0.09749649,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 13:30,0,0.059617796,0.038966791,0.004232378,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 13:45,0,0.016238283,0.050343877,0.02188345,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 14:00,0,0.041172388,0.011365765,0.049374197,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 14:15,0,0.065323735,0.027764314,0.094738013,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 14:30,0,0.083809232,0.085065027,0.077292417,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 14:45,0,0.033678056,0.050418118,0.075710667,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 15:00,0,0.05772926,0.014174325,0.00236356,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 15:15,0,0.058345289,0.049757854,0.090773707,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 15:30,0,0.045710998,0.065486905,0.098103555,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 15:45,0,0.08526646,0.084536359,0.098808518,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 16:00,0,0.072078864,0.035325971,0.077773536,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 16:15,0,0.091208805,0.076271748,0.082110535,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 16:30,0,0.007306057,0.03687457,0.034504475,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 16:45,0,0.00039819,0.052638116,0.028019142,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 17:00,0,0.079878427,0.010351871,0.03925603,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 17:15,0,0.02206553,0.063175768,0.073823578,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 17:30,0,0.030868415,0.002268056,0.048191884,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 17:45,0,0.045110033,0.085200195,0.014026654,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 18:00,0,0.091034012,0.048507913,0.056467055,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 18:15,0,0.011157214,0.074212681,0.054092129,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 18:30,0,0.003141249,0.058861107,0.022670696,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 18:45,0,0.048925492,0.065400439,0.031719115,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 19:00,0,0.044653494,0.00882521,0.089042265,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 19:15,0,0.045706414,0.048102361,0.002110872,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 19:30,0,0.051844177,0.075139243,0.028105265,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 19:45,0,0.06741781,0.086241096,0.011026366,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 20:00,0,0.014383088,0.072142039,0.043535652,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 20:15,0,0.031163629,0.057444053,0.077455127,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 20:30,0,0.047762003,0.076144994,0.071301038,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 20:45,0,0.093616399,0.081071674,0.056095502,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 21:00,0,0.004636454,0.055137231,0.005557526,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 21:15,0,0.008534033,0.026987362,0.025054002,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 21:30,0,0.03366648,0.066294529,0.011876168,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 21:45,0,0.043199685,0.034773606,0.065738811,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 22:00,0,0.012368026,0.090489294,0.048971104,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 22:15,0,0.026112216,0.030451875,0.044139089,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 22:30,0,0.007665787,0.045638814,0.026665935,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 22:45,0,0.03961012,0.097213197,0.070494181,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 23:00,0,0.002600473,0.032711425,0.064783601,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 23:15,0,0.093668249,0.078395751,0.080691417,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 23:30,0,0.081741545,0.045751725,0.094619516,0,0,0,0,0,0,0,0,0,0,0 -21/05/2021 23:45,0,0.029684912,0.043307049,0.013670939,0,0,0,0,0,0,0,0,0,0,0 -22/05/2021 00:00,0,0.099807242,0.068970256,0.058223029,0,0,0,0,0,0,0,0,0,0,0 +Time,Load R1,Load R11,Load R15,Load R16,Load R17,Load R18,Load I2,Load C1,Load C12,Load C13,Load C14,Load C17,Load C18,Load C19,Load C20 +21/05/2021 00:00,0,0.04465,0.050987039,0.046932308,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 00:15,0,0.03325,0.072624476,0.000780409,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 00:30,0,0.00367331,0.018730684,0.062946276,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 00:45,0,0.065567666,0.079475071,0.048890031,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 01:00,0,0.028552826,0.067862699,0.082755417,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 01:15,0,0.049500027,0.08583402,0.083813722,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 01:30,0,0.001925076,0.096205226,0.068046741,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 01:45,0,0.02089638,0.045369747,0.025362735,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 02:00,0,0.001478866,0.043751709,0.097888967,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 02:15,0,0.05901514,0.095131897,0.040972352,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 02:30,0,0.003147115,0.059370002,0.072953983,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 02:45,0,0.064530725,0.040778998,0.040470587,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 03:00,0,0.006656381,0.049190997,0.025927774,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 03:15,0,0.057799612,0.01551747,0.075469594,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 03:30,0,0.005728434,0.020574384,0.026333838,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 03:45,0,0.079133923,0.057091217,0.069827736,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 04:00,0,0.041088633,0.097550571,0.018737687,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 04:15,0,0.006393314,0.098380769,0.068399196,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 04:30,0,0.063531806,0.071450588,0.061738424,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 04:45,0,0.022687537,0.020009999,0.017715779,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 05:00,0,0.027699735,0.011327993,0.097334976,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 05:15,0,0.003517351,0.002111273,0.051951765,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 05:30,0,0.087054165,0.029438546,0.04258301,0,0,0,0,0,0,0,0,0,0,0 +21/05/2021 05:45,0,0.07934243,0.04634681,0.073237361,0,0,0,0,0,0,0,0,0,0,0 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Models/LoadinNetSim/demo_lv_resident.csv rename to src/illuminator/models/LoadinNetSim/demo_lv_resident.csv index 270e3e7..7efe1c0 100644 --- a/Models/LoadinNetSim/demo_lv_resident.csv +++ b/src/illuminator/models/LoadinNetSim/demo_lv_resident.csv @@ -1,35059 +1,35059 @@ -Time,Load R1,Load R2,Load R3,Load R4,Load R5,Load R6,Load R7,Load R8,Load R9,Load R10,Load R11,Load R12,Load R13,Load R14,Load R15,Load R16,Load R17,Load R18 -01/01/2022 00:00,0.006280953,0.006665492,0.006219869,0.006272713,0.005819803,0.006749647,0.006814503,0.006342549,0.006122805,0.005105546,0.006895527,0.006172774,0.006554695,0.006449263,0.005555838,0.006954249,0.006154501,0.0060522 -01/01/2022 00:15,0.006728206,0.007029214,0.006374762,0.0063754,0.006068669,0.006956748,0.007094693,0.0069151,0.006601382,0.005834718,0.007029537,0.006526055,0.006667823,0.006583274,0.005982209,0.007140466,0.006403367,0.006311507 -01/01/2022 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12:30,0.013917802,0.01556525,0.012652504,0.01274516,0.010961745,0.015471515,0.016035641,0.014637073,0.013230315,0.008969426,0.015960545,0.013068597,0.014188657,0.013730332,0.010225453,0.016425442,0.012634405,0.012157441 -04/01/2022 12:45,0.014757292,0.016549304,0.012917784,0.012956847,0.011089373,0.016237689,0.016983435,0.015749845,0.014004886,0.009414992,0.016706888,0.01365554,0.014635665,0.014134062,0.01047058,0.017311031,0.013018992,0.012482321 -04/01/2022 13:00,0.014910344,0.016611313,0.012847407,0.012842257,0.011119216,0.016172094,0.016970342,0.015996255,0.014193024,0.009867029,0.016574529,0.013742768,0.014510119,0.014031905,0.010656452,0.017215335,0.013026184,0.012504564 -04/01/2022 13:15,0.015274768,0.016944302,0.012898569,0.012846689,0.011210444,0.016354146,0.017237873,0.016500051,0.014567222,0.010355232,0.016701545,0.013993711,0.014566155,0.014094458,0.010894387,0.017405197,0.013165759,0.012640234 -04/01/2022 13:30,0.01531263,0.016843882,0.012830314,0.012742362,0.011289015,0.016165489,0.017062428,0.016573879,0.014660684,0.010826914,0.016443078,0.014021243,0.014390474,0.013955843,0.011118238,0.017152839,0.013154442,0.012660767 -04/01/2022 13:45,0.015918203,0.017513598,0.013004107,0.012868789,0.011405826,0.016658412,0.017686425,0.017381021,0.015235699,0.011273105,0.016903225,0.014446729,0.014662834,0.014207831,0.011356777,0.017712392,0.013427372,0.012900382 -04/01/2022 14:00,0.015954755,0.017471173,0.012755408,0.012569552,0.011246182,0.016463907,0.017563543,0.017540047,0.01530178,0.011576976,0.016638418,0.014391038,0.01437554,0.013940223,0.011368432,0.017498822,0.013269828,0.01275237 -04/01/2022 14:15,0.015951652,0.01737302,0.012739731,0.012537126,0.011330033,0.016332427,0.017423925,0.017534274,0.015337493,0.011866816,0.016467131,0.014404038,0.014279905,0.013870466,0.011528409,0.017318902,0.013277532,0.012784294 -04/01/2022 14:30,0.015524627,0.016742978,0.01257766,0.012378165,0.011373794,0.015763287,0.016754168,0.016969142,0.01499627,0.012040101,0.015852496,0.014123568,0.013917484,0.013565246,0.011620038,0.016623803,0.013089232,0.012658974 -04/01/2022 14:45,0.015349107,0.016504264,0.012455615,0.012253225,0.011316489,0.015530406,0.016498238,0.016763789,0.014847169,0.01205396,0.015601527,0.013982521,0.013736015,0.01340139,0.011589033,0.016353951,0.012966592,0.01255482 -04/01/2022 15:00,0.015111062,0.016276269,0.012007661,0.011778892,0.010862897,0.015210318,0.016239265,0.016621874,0.014602925,0.01180332,0.015257033,0.013661581,0.013317918,0.012979161,0.011210445,0.01605527,0.012571302,0.012148826 -04/01/2022 15:15,0.019549211,0.022348072,0.013455226,0.013087014,0.010674007,0.020403437,0.022486934,0.022560919,0.018342138,0.011485554,0.020699941,0.01659043,0.016464656,0.015659941,0.010973926,0.022328153,0.014454007,0.013491649 -04/01/2022 15:30,0.018887688,0.021603779,0.013140433,0.0128053,0.010437612,0.019792023,0.021766408,0.021734776,0.017717962,0.01104801,0.020102315,0.016080408,0.016043995,0.015264177,0.010663194,0.021646982,0.014066215,0.013138736 -04/01/2022 15:45,0.017954986,0.020508173,0.012728911,0.012437395,0.010184116,0.018884962,0.02069059,0.020551239,0.016857166,0.010570156,0.019200549,0.015383909,0.015440444,0.014708564,0.010326783,0.02061506,0.013553104,0.012688055 -04/01/2022 16:00,0.017112537,0.019554803,0.012142053,0.011867007,0.009707155,0.018015033,0.019734074,0.019583045,0.016062695,0.010046053,0.018320776,0.014664132,0.014732893,0.014032998,0.0098324,0.019667768,0.012922989,0.012096622 -04/01/2022 16:15,0.016989536,0.019548589,0.011752856,0.011460857,0.009202182,0.017922283,0.01973166,0.019591119,0.015889208,0.009587619,0.018238785,0.014413091,0.014470476,0.013736924,0.009344626,0.019656248,0.012578577,0.011711595 -04/01/2022 16:30,0.016889865,0.019518555,0.011628352,0.011344088,0.009005548,0.017901256,0.019726306,0.01950885,0.015760761,0.009276287,0.01824231,0.014288537,0.014408003,0.013655267,0.009105604,0.019673335,0.01244583,0.011559791 -04/01/2022 16:45,0.016076862,0.01852365,0.011240043,0.010983525,0.008797332,0.017045697,0.018727169,0.018487119,0.015026492,0.008984864,0.01737136,0.013678836,0.013821204,0.013120957,0.008866637,0.018690478,0.011985134,0.011162744 -04/01/2022 17:00,0.014631283,0.01675174,0.010129515,0.009865894,0.008019762,0.015330566,0.016876214,0.01686076,0.013717929,0.008512128,0.015570795,0.012433917,0.012397838,0.011788935,0.008201723,0.016779882,0.010856158,0.010131499 -04/01/2022 17:15,0.013854394,0.015816844,0.009790941,0.009560671,0.007836018,0.01454813,0.015949262,0.015871066,0.013010118,0.00818226,0.014784393,0.011860302,0.011879816,0.011316966,0.007963977,0.015881519,0.010436588,0.009769893 -04/01/2022 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13:30,0.014400382,0.016030343,0.010585185,0.010335268,0.008971656,0.01477733,0.016066638,0.016275116,0.013694785,0.00972755,0.014913934,0.012574946,0.012364753,0.011894355,0.009251008,0.015918745,0.01123634,0.010665632 -13/11/2022 13:45,0.014338073,0.015847684,0.01053608,0.010268837,0.009047897,0.014565656,0.015836353,0.016196211,0.013681912,0.010033623,0.014655803,0.012544221,0.012211457,0.011774017,0.009412187,0.015643493,0.011209237,0.010670319 -13/11/2022 14:00,0.014137131,0.015508968,0.010257038,0.009957537,0.008914505,0.014151531,0.015427511,0.016018568,0.013536641,0.010262511,0.014175867,0.012343607,0.011822582,0.011422256,0.009412681,0.01516377,0.010979713,0.010473593 -13/11/2022 14:15,0.014350486,0.015698587,0.010326185,0.010003703,0.009011769,0.014268974,0.01558316,0.016295266,0.013758291,0.010561294,0.01426426,0.012506762,0.011886055,0.011491259,0.009584419,0.015279992,0.011091519,0.01058601 -13/11/2022 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10:30,0.014351052,0.016880686,0.009698778,0.009479992,0.007165304,0.015510354,0.017149405,0.016684871,0.01326857,0.006988619,0.015894228,0.012005711,0.012332044,0.011610389,0.007100007,0.017183973,0.010378183,0.009541373 -01/12/2022 10:45,0.014006392,0.016428747,0.009737802,0.009553132,0.007307458,0.015200895,0.01671727,0.016156664,0.012971664,0.006939975,0.015593737,0.011832153,0.012240508,0.011550689,0.007171649,0.016789169,0.010339744,0.009545607 -01/12/2022 11:00,0.013280232,0.015389696,0.010070021,0.009976769,0.007941875,0.01454994,0.015725826,0.014922703,0.012384183,0.007082459,0.014960721,0.011581712,0.012198087,0.011600721,0.007624265,0.015893973,0.010461875,0.009789859 -01/12/2022 11:15,0.013422741,0.015558844,0.010305769,0.010229167,0.008147653,0.014769038,0.015921614,0.015025252,0.012516702,0.007135058,0.015203128,0.01175419,0.012447154,0.011843128,0.007773433,0.01611973,0.010667653,0.009992306 -01/12/2022 11:30,0.013634239,0.015795142,0.010604066,0.010542964,0.00841805,0.015051835,0.016182711,0.015199551,0.0127189,0.007262858,0.015507625,0.011993588,0.012757851,0.012147625,0.007991131,0.016408727,0.01093805,0.010259604 -01/12/2022 11:45,0.013909991,0.016090903,0.01094985,0.010901253,0.008741324,0.015385113,0.016498482,0.01544529,0.012987149,0.00747108,0.015858411,0.01229185,0.013113639,0.012498411,0.008271886,0.016747008,0.011261324,0.010580376 -01/12/2022 12:00,0.013811419,0.015744638,0.011940875,0.011998196,0.009965754,0.01546003,0.016232047,0.014830496,0.013000855,0.008038247,0.015981632,0.012666636,0.01378258,0.013242204,0.009253414,0.016609168,0.012020326,0.011445757 -01/12/2022 12:15,0.014089079,0.016003128,0.012135574,0.0121788,0.010182385,0.015675395,0.016468711,0.015144109,0.013285546,0.008381983,0.016178074,0.01291663,0.013969301,0.013433613,0.009517019,0.016820964,0.012240732,0.011667947 -01/12/2022 12:30,0.014131352,0.01592698,0.012189168,0.012215121,0.010359356,0.01556994,0.01634542,0.015170813,0.013376448,0.008786884,0.01602668,0.012989339,0.013920542,0.013417273,0.009778225,0.016653078,0.012316411,0.011774842 -01/12/2022 12:45,0.01459249,0.016402773,0.01232173,0.012306222,0.010484216,0.015901266,0.016772278,0.015782332,0.013828325,0.009231611,0.016319371,0.013320957,0.014098921,0.013589477,0.010021297,0.017017353,0.012531637,0.011973594 -01/12/2022 13:00,0.015030885,0.016839876,0.012410574,0.012348279,0.010582494,0.016179772,0.017150331,0.01637922,0.014263785,0.009704386,0.016550008,0.013625283,0.014222077,0.013710677,0.010257975,0.017322135,0.012711992,0.01214081 -01/12/2022 13:15,0.015330157,0.017081995,0.012462949,0.01235869,0.010700251,0.016293517,0.017327452,0.016785484,0.014584025,0.010200628,0.016607396,0.013842247,0.014250624,0.013753203,0.010515607,0.017425204,0.012840896,0.012275053 -01/12/2022 13:30,0.016225554,0.018132505,0.012703016,0.012536027,0.010793527,0.017092497,0.018332492,0.017991899,0.015409377,0.010676766,0.017379785,0.014451594,0.014689655,0.014145537,0.010750376,0.018355336,0.013219213,0.012587793 -01/12/2022 13:45,0.015740696,0.017332451,0.012529776,0.012354327,0.010942161,0.016341851,0.017454081,0.017337875,0.015056741,0.0111326,0.016544996,0.014155936,0.014215466,0.013759496,0.011012541,0.017416821,0.013031286,0.012493801 -01/12/2022 14:00,0.015902234,0.017454883,0.012346795,0.012119232,0.010807976,0.016296969,0.017502647,0.017652292,0.015230885,0.011444187,0.016437768,0.014193668,0.014033971,0.013586406,0.011043097,0.017378171,0.012946498,0.012405897 -01/12/2022 14:15,0.016480394,0.018138696,0.012526943,0.012263097,0.010887022,0.016831343,0.018163583,0.018420357,0.015761815,0.01173257,0.016960581,0.014595576,0.014344741,0.013865688,0.011199508,0.01799815,0.013208192,0.012624789 -01/12/2022 14:30,0.016718586,0.018404208,0.01258433,0.012300723,0.010920068,0.017022958,0.018410141,0.018742995,0.015987023,0.011902609,0.017138655,0.014758256,0.014443795,0.013956086,0.011283181,0.018217905,0.013306995,0.012709522 -01/12/2022 14:45,0.016713928,0.018394226,0.01252796,0.012236617,0.010870452,0.016988021,0.018389297,0.018761332,0.015984033,0.011918798,0.017094578,0.014734895,0.014388114,0.013901517,0.011257884,0.018184186,0.013265247,0.012667165 -01/12/2022 15:00,0.016264768,0.017879629,0.012027512,0.011718957,0.01043951,0.016431183,0.017839018,0.018329678,0.015561174,0.011675021,0.016504561,0.014280435,0.013836939,0.013367876,0.010896112,0.017597287,0.012792023,0.012208971 -01/12/2022 15:15,0.019245042,0.02199213,0.01296985,0.01256928,0.010246876,0.01995042,0.022079218,0.02233441,0.018057384,0.01135612,0.020201622,0.016228016,0.015953394,0.015161622,0.010656814,0.021862192,0.014026876,0.01307099 -01/12/2022 15:30,0.018929698,0.021712472,0.012779408,0.012401141,0.010016287,0.019737674,0.021835246,0.021965537,0.017728658,0.010920335,0.020020101,0.015952819,0.015780795,0.014980101,0.010350392,0.021658367,0.013796287,0.01283594 -01/12/2022 15:45,0.018596179,0.021420125,0.012589988,0.012237454,0.009780549,0.019522522,0.02158407,0.021570261,0.0173797,0.010447863,0.019840974,0.015665618,0.015611961,0.014800974,0.010027166,0.021453509,0.013560549,0.012595056 -01/12/2022 16:00,0.01812282,0.020958891,0.01215907,0.011814114,0.009335989,0.019084025,0.021134963,0.021078713,0.016901793,0.009933579,0.019413088,0.0152059,0.015187105,0.014373088,0.009556838,0.021018043,0.013115989,0.01214898 -01/12/2022 16:15,0.017629711,0.020456436,0.011633249,0.011282452,0.008820683,0.018564046,0.020623161,0.020599623,0.016412189,0.009472013,0.01888493,0.014702276,0.014656611,0.01384493,0.009061392,0.020495727,0.012600683,0.011634842 -01/12/2022 16:30,0.017383525,0.020229827,0.011455582,0.011117021,0.008620992,0.018374143,0.020416129,0.020324071,0.016158661,0.009159755,0.018712157,0.014478114,0.014488733,0.013672157,0.0088201,0.020310718,0.012400992,0.011432704 -01/12/2022 16:45,0.017140456,0.020001147,0.011262873,0.010933304,0.008412096,0.018172441,0.020201837,0.020059421,0.015910197,0.008868126,0.018523045,0.014251233,0.014303218,0.013483045,0.008580629,0.020112614,0.012192096,0.01122201 -01/12/2022 17:00,0.016515172,0.019327337,0.010467751,0.010107855,0.007671565,0.017407648,0.019479503,0.019506924,0.01530311,0.008406614,0.017715792,0.013571358,0.013483834,0.012675793,0.007943213,0.019335689,0.011451565,0.010487544 -01/12/2022 17:15,0.016265753,0.019102425,0.010304107,0.009959528,0.007480351,0.017228687,0.019279098,0.019220743,0.0150445,0.008074482,0.017558276,0.01334951,0.013332444,0.012518276,0.007699921,0.019162855,0.011260351,0.010293266 -01/12/2022 17:30,0.015999406,0.01886533,0.010140141,0.009813844,0.007283476,0.017046439,0.019071255,0.018910519,0.014767184,0.007709411,0.017401623,0.013116071,0.013183104,0.012361623,0.007440887,0.01898792,0.011063476,0.010092736 -01/12/2022 17:45,0.015695074,0.018589503,0.009935577,0.009627096,0.007046844,0.016824059,0.018823933,0.018563429,0.014452163,0.007308874,0.017204184,0.012843807,0.012992792,0.012164184,0.007143681,0.018772666,0.010826844,0.00985254 -01/12/2022 18:00,0.015061051,0.017932396,0.009220759,0.008897849,0.006357996,0.016123668,0.018143741,0.017964034,0.013826797,0.006752762,0.016483595,0.012183814,0.012266431,0.011443595,0.006503888,0.018066504,0.010137996,0.009166577 -01/12/2022 18:15,0.014745753,0.017649217,0.009017878,0.008715043,0.006118981,0.015900713,0.017892681,0.017600556,0.013499454,0.006329061,0.016288744,0.01190465,0.01207961,0.011248744,0.006196619,0.017851579,0.009898981,0.008923547 -01/12/2022 18:30,0.014416537,0.017350943,0.008796959,0.008513463,0.005863252,0.015660455,0.017625349,0.017224927,0.013158634,0.005895416,0.01607556,0.011610244,0.011874162,0.01103556,0.005875138,0.017619056,0.009643252,0.008663951 -01/12/2022 18:45,0.0140905,0.017055197,0.008576942,0.008312378,0.005609157,0.015421506,0.017359895,0.016853453,0.012821238,0.005467145,0.015863116,0.011318285,0.011669291,0.010823116,0.005556674,0.01738768,0.009389157,0.00840607 -01/12/2022 19:00,0.013817166,0.016820173,0.008437691,0.00819707,0.005426808,0.015258312,0.01716318,0.016522656,0.012533539,0.005064518,0.015733443,0.011088049,0.011549194,0.010693443,0.005292918,0.017234063,0.009206808,0.008218932 -01/12/2022 19:15,0.008503243,0.009818303,0.006462567,0.006399182,0.005136771,0.009276957,0.010021255,0.009545053,0.007944247,0.004642918,0.009527705,0.007429225,0.007793215,0.007420551,0.00495426,0.010117878,0.006717136,0.006296676 -01/12/2022 19:30,0.008205924,0.009546069,0.006253969,0.006206386,0.004899931,0.009052176,0.00977426,0.009209688,0.00763753,0.004260858,0.009324998,0.007160482,0.007597067,0.007218137,0.004663752,0.009899296,0.006480076,0.006056516 -01/12/2022 19:45,0.007832122,0.00915539,0.00602444,0.005993406,0.004684686,0.008721894,0.009400744,0.008768935,0.007272072,0.003926323,0.009007494,0.00684585,0.007338496,0.00696513,0.004404421,0.009549119,0.006216459,0.005802846 -01/12/2022 20:00,0.007309309,0.008556514,0.005693338,0.005675789,0.004428565,0.008187679,0.008802463,0.008152433,0.006782323,0.003620383,0.008468756,0.006413478,0.006922964,0.00657164,0.004129889,0.008960585,0.005851402,0.005464949 -01/12/2022 20:15,0.006537952,0.007586734,0.005385839,0.005398635,0.0043175,0.00737017,0.007828167,0.007153121,0.006096855,0.003417921,0.007634539,0.005864115,0.006398889,0.006104824,0.003985047,0.008004172,0.005464787,0.005147786 -01/12/2022 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13:30,0.013423197,0.014381622,0.011621641,0.011533563,0.01066266,0.013844821,0.014476921,0.014325085,0.013012681,0.010637109,0.013984993,0.012519641,0.012623272,0.012349595,0.010653217,0.01448192,0.011889208,0.011570659 -07/12/2022 13:45,0.01378493,0.01472048,0.011733583,0.01160859,0.010804262,0.014063962,0.014764491,0.014798144,0.01338131,0.011090813,0.014161126,0.012790403,0.012740974,0.012471894,0.010910161,0.014708427,0.012071186,0.011748953 -07/12/2022 14:00,0.013410095,0.014119321,0.011384396,0.011226928,0.010690776,0.013408609,0.014073906,0.014391732,0.013099453,0.011408672,0.013418518,0.012475278,0.012195766,0.011988671,0.010956085,0.013933448,0.011763162,0.011500742 -07/12/2022 14:15,0.013871271,0.01464218,0.011550856,0.011363897,0.010799653,0.013816001,0.014572971,0.014992068,0.013532437,0.011706095,0.013810714,0.01280959,0.012444803,0.012218913,0.011134642,0.014395624,0.011993504,0.011703692 -07/12/2022 14:30,0.014192815,0.015017414,0.011653649,0.011446054,0.010851449,0.014107829,0.014933819,0.015417599,0.013829816,0.011881815,0.014094433,0.013035228,0.012615645,0.012373645,0.011232237,0.014732226,0.01214204,0.011829842 -07/12/2022 14:45,0.014257471,0.015103344,0.011601467,0.011381676,0.010779758,0.014147058,0.015009,0.015537144,0.013884597,0.011891315,0.014126364,0.01305029,0.012593482,0.0123449,0.011190551,0.014791521,0.012115856,0.011793625 -07/12/2022 15:00,0.014048875,0.014912691,0.011179795,0.010934454,0.01034428,0.013865175,0.014790108,0.015426812,0.013666539,0.011646164,0.01382281,0.012755844,0.012208734,0.011953843,0.010825411,0.014535392,0.011746005,0.011410897 -07/12/2022 15:15,0.019171079,0.021905577,0.012851823,0.012443385,0.010143013,0.019840262,0.021980076,0.022279331,0.017988142,0.011324646,0.020080448,0.01613989,0.015829073,0.015040448,0.010579703,0.021748887,0.013923013,0.0129687 -07/12/2022 15:30,0.018842837,0.021610826,0.012640799,0.012253293,0.009894312,0.019608306,0.021718816,0.021900853,0.017647341,0.010883373,0.019877797,0.015849325,0.015634794,0.014837797,0.010259834,0.021525303,0.013674312,0.012715813 -07/12/2022 15:45,0.018489636,0.021295447,0.012419973,0.012056104,0.009630936,0.019363841,0.021441257,0.021490921,0.017279957,0.010402526,0.019666425,0.015538673,0.015432878,0.014626425,0.009916089,0.021290294,0.013410936,0.01244771 -07/12/2022 16:00,0.018004727,0.020820698,0.011970625,0.011613106,0.009170158,0.018908143,0.020976669,0.020990772,0.016791238,0.009883327,0.019219617,0.015065194,0.01498861,0.014179617,0.00943372,0.020837136,0.012950158,0.011985661 -07/12/2022 16:15,0.01554824,0.017679019,0.010768369,0.010469325,0.00865427,0.016134965,0.017761213,0.017904814,0.0146279,0.009421585,0.01634166,0.013241708,0.013073691,0.012460131,0.008937843,0.017611087,0.011565417,0.010827356 -07/12/2022 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11:30,0.013335422,0.015445462,0.01012723,0.010034339,0.007998435,0.014606788,0.015782169,0.014977027,0.012439156,0.007135701,0.015018074,0.011637551,0.012255584,0.011658074,0.007679598,0.015950965,0.010518435,0.009846346 -08/12/2022 11:45,0.013607744,0.015737209,0.01046754,0.010386789,0.008316891,0.014934957,0.016093341,0.015220212,0.012704194,0.007342464,0.015363239,0.011931726,0.012605606,0.012003239,0.007956777,0.01628399,0.010836891,0.010162374 -08/12/2022 12:00,0.012643076,0.014226021,0.011165168,0.011219262,0.00954667,0.014017296,0.01463411,0.013453135,0.011979907,0.007911252,0.014451667,0.011726359,0.012667737,0.012225625,0.008942277,0.014954084,0.011216202,0.010747808 -08/12/2022 12:15,0.012917234,0.01447883,0.01136567,0.011406562,0.009771165,0.014230557,0.014865748,0.013758833,0.012262082,0.008257371,0.014646392,0.011976909,0.012857456,0.012420688,0.00921172,0.015161926,0.011440443,0.010974759 -08/12/2022 12:30,0.012895707,0.014315436,0.011407942,0.011434838,0.009960078,0.014054795,0.014654289,0.013695858,0.012299309,0.00866589,0.014422401,0.012011152,0.012772022,0.012374423,0.009481791,0.0149075,0.011496061,0.011069709 -08/12/2022 12:45,0.013043042,0.014365104,0.011463335,0.01146249,0.010119567,0.014034449,0.014648122,0.013876306,0.012485746,0.009121111,0.014350448,0.012144661,0.012753262,0.012381731,0.009750573,0.014843472,0.011596104,0.011191593 -08/12/2022 13:00,0.013338255,0.014591087,0.011636956,0.011608928,0.01036828,0.014185266,0.014825083,0.014220592,0.012808117,0.009639473,0.01445704,0.012408387,0.012880037,0.012526612,0.010098938,0.014967675,0.011816101,0.011424897 -08/12/2022 13:15,0.013618668,0.014807935,0.011682261,0.011612822,0.010485388,0.014277211,0.01497625,0.014602083,0.013112241,0.010135518,0.014491655,0.012612435,0.012894838,0.012557221,0.010356088,0.015044703,0.011936214,0.011552468 -08/12/2022 13:30,0.014160395,0.015383849,0.01179462,0.011673385,0.010571984,0.014668715,0.015494445,0.015341646,0.013635707,0.010609632,0.0148387,0.0129816,0.013079919,0.012730127,0.010585897,0.015487079,0.012153414,0.011744232 -08/12/2022 13:45,0.014703851,0.015964464,0.01198729,0.011825203,0.010733972,0.015101353,0.016031725,0.016047543,0.014160463,0.011069513,0.015238716,0.013382043,0.013339888,0.012977629,0.010857976,0.015966076,0.012429787,0.011997426 -08/12/2022 14:00,0.014823421,0.016016377,0.011891266,0.011689719,0.010713572,0.015036008,0.016019531,0.016258976,0.014305614,0.011415579,0.015117044,0.013433649,0.013207887,0.012862683,0.010973009,0.015882182,0.012404343,0.011981256 -08/12/2022 14:15,0.01501749,0.01618321,0.011943943,0.011719234,0.010797955,0.015130921,0.016151416,0.016514802,0.01450944,0.01170558,0.015181885,0.013579371,0.013251613,0.012912913,0.011133381,0.015973837,0.012499684,0.012078226 -08/12/2022 14:30,0.015317973,0.016531797,0.012027507,0.01178152,0.01083631,0.015395309,0.016483612,0.016917948,0.014788064,0.011877227,0.015436173,0.013785883,0.013398268,0.013044995,0.011220997,0.016279954,0.012629694,0.012187371 -08/12/2022 14:45,0.015718554,0.017068332,0.012097927,0.011829504,0.010772424,0.015821927,0.017021175,0.017480317,0.015129674,0.011889092,0.015872568,0.014029618,0.013618329,0.013225743,0.011185106,0.016802697,0.012757543,0.012267158 -08/12/2022 15:00,0.015911149,0.017423083,0.011770529,0.011458528,0.010287754,0.015988452,0.017356026,0.017923143,0.015250682,0.011629035,0.016033658,0.013986631,0.0134822,0.013041888,0.010783445,0.017093601,0.012531582,0.011979007 -08/12/2022 15:15,0.019141673,0.021871167,0.0128049,0.012393333,0.01010172,0.019796467,0.02194066,0.022257433,0.017960613,0.011312133,0.020032273,0.016104853,0.015779647,0.014992273,0.010549047,0.02170384,0.01388172,0.012928033 -08/12/2022 15:30,0.018825776,0.021590861,0.012613574,0.012224253,0.009870353,0.019582896,0.021695946,0.021888148,0.017631369,0.010876113,0.019849846,0.015828997,0.015606117,0.014809846,0.010242047,0.021499167,0.013650353,0.012692218 -08/12/2022 15:45,0.018502676,0.021310706,0.012440782,0.0120783,0.009649248,0.019383263,0.021458736,0.021500631,0.017292165,0.010408075,0.019687789,0.01555421,0.015454797,0.014647789,0.009929684,0.02131027,0.013429248,0.012465744 -08/12/2022 16:00,0.018044366,0.020867083,0.012033877,0.011680576,0.00922582,0.018967179,0.021029801,0.021020289,0.016828347,0.009900194,0.019284557,0.015112423,0.015055236,0.014244557,0.009475045,0.020897858,0.01300582,0.01204048 -08/12/2022 16:15,0.017564296,0.020379887,0.011528864,0.011171108,0.008728824,0.018466619,0.020535477,0.02055091,0.016350949,0.009444177,0.018777761,0.014624336,0.014546659,0.013737761,0.008993194,0.020395517,0.012508824,0.011544375 -08/12/2022 16:30,0.017314596,0.020149165,0.011345589,0.010999695,0.008524198,0.018271483,0.020323735,0.020272741,0.016094132,0.009130424,0.018599231,0.014395986,0.014372874,0.013559231,0.008748238,0.020205125,0.012304198,0.011337377 -08/12/2022 16:45,0.017065655,0.019913613,0.011143508,0.010805982,0.008307055,0.018061035,0.020101571,0.020003717,0.01584017,0.008836296,0.018400498,0.014162108,0.014177488,0.013360498,0.008502644,0.019998024,0.012087055,0.011118561 -08/12/2022 17:00,0.01643935,0.019238609,0.010346758,0.009978795,0.007565091,0.017294721,0.019377868,0.01945046,0.015232127,0.008374349,0.017591573,0.013481016,0.013356387,0.012551573,0.007864164,0.019219535,0.011345091,0.010382683 -08/12/2022 17:15,0.016183304,0.019005943,0.01017254,0.00981919,0.007364571,0.017105891,0.019168582,0.019159345,0.014967314,0.008039397,0.0174232,0.013251273,0.01319386,0.0123832,0.007613964,0.019036551,0.011144571,0.010179242 -08/12/2022 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13:30,0.015969586,0.017870055,0.012027893,0.011804019,0.010134866,0.016638433,0.01799719,0.01792555,0.01515191,0.010477171,0.016866343,0.014035947,0.01405146,0.013506343,0.01026137,0.017930217,0.012654866,0.012008974 -09/12/2022 13:45,0.016245852,0.018093022,0.012117611,0.011860425,0.010284546,0.016761464,0.018166857,0.018281765,0.015448164,0.010933323,0.016942737,0.014252251,0.014114529,0.013582737,0.010524311,0.018039923,0.012804546,0.012165316 -09/12/2022 14:00,0.016436461,0.018230049,0.012120685,0.011830011,0.010347899,0.016798026,0.018250303,0.018552746,0.015658866,0.011304769,0.016932415,0.014382581,0.014090812,0.013572415,0.010701525,0.01806309,0.012867899,0.012235367 -09/12/2022 14:15,0.016625707,0.018386928,0.012196647,0.011885743,0.010460273,0.016894217,0.018374815,0.018790542,0.015860249,0.011603252,0.017000285,0.014535414,0.014150591,0.013640285,0.010882679,0.018151189,0.012980273,0.012351787 -09/12/2022 14:30,0.016474274,0.018123527,0.012156963,0.011843194,0.010534905,0.016648844,0.018083756,0.018578539,0.015755796,0.011785892,0.016725165,0.014451595,0.014003894,0.013524908,0.010997226,0.017838998,0.012935097,0.012340021 -09/12/2022 14:45,0.016411349,0.018029234,0.012123561,0.011808752,0.01053357,0.016558795,0.017981417,0.018499454,0.015706015,0.011816712,0.01662654,0.014406927,0.013940693,0.01347047,0.011007775,0.017730367,0.012900623,0.012314837 -09/12/2022 15:00,0.016505118,0.018220271,0.011984085,0.011653619,0.010297937,0.016672534,0.018173685,0.018707627,0.015757623,0.01163212,0.016747675,0.014389622,0.013907976,0.013409646,0.010791005,0.017912649,0.012801459,0.012181402 -09/12/2022 15:15,0.019151489,0.021882653,0.012820563,0.01241004,0.010115503,0.019811085,0.021953817,0.022264743,0.017969802,0.01131631,0.020048354,0.016116548,0.015796145,0.015008354,0.01055928,0.021718876,0.013895503,0.012941608 -09/12/2022 15:30,0.018830638,0.021596551,0.012621333,0.012232529,0.009877181,0.019590138,0.021702464,0.021891769,0.017635921,0.010878182,0.019857811,0.01583479,0.01561429,0.014817811,0.010247116,0.021506616,0.013657181,0.012698942 -09/12/2022 15:45,0.018480245,0.021284457,0.012404987,0.012040119,0.009617748,0.019349854,0.021428669,0.021483927,0.017271165,0.01039853,0.01965104,0.015527483,0.015417093,0.01461104,0.009906298,0.021275907,0.013397748,0.012434722 -09/12/2022 16:00,0.017999416,0.020814483,0.011962149,0.011604066,0.009162699,0.018900233,0.020969549,0.020986816,0.016786266,0.009881066,0.019210916,0.015058866,0.014979682,0.014170916,0.009428183,0.020828999,0.012942699,0.011978316 -09/12/2022 16:15,0.017507616,0.020313559,0.011438417,0.011074632,0.008649231,0.018382203,0.020459503,0.020508701,0.016297888,0.009420058,0.018684903,0.014556802,0.014451389,0.013644903,0.008934102,0.020308689,0.012429231,0.011465988 -09/12/2022 16:30,0.017263191,0.020089011,0.011263561,0.010912198,0.008452013,0.018194923,0.020254831,0.020234462,0.016046009,0.00910855,0.018515016,0.014334739,0.014286471,0.013475016,0.008694646,0.020126378,0.012232013,0.011266286 -09/12/2022 16:45,0.01701517,0.019854535,0.011062948,0.010720051,0.008236162,0.017985845,0.0200339,0.019966122,0.015792908,0.008814813,0.018317789,0.014101956,0.01409263,0.013277789,0.008450011,0.019920686,0.012016162,0.011048741 -09/12/2022 17:00,0.016400938,0.019193659,0.010285462,0.009913413,0.007511151,0.017237512,0.01932638,0.019421856,0.015196167,0.008358003,0.017528643,0.013435249,0.013291823,0.012488643,0.007824118,0.019160692,0.011291151,0.010329561 -09/12/2022 17:15,0.016154587,0.018972338,0.010126716,0.00977031,0.007324246,0.017063121,0.019130089,0.019137961,0.014940431,0.008027178,0.017376153,0.013217057,0.013145591,0.012336153,0.007584025,0.018992559,0.011104246,0.010139527 -09/12/2022 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15:30,0.019059344,0.021793888,0.012740247,0.012331837,0.010031385,0.019728657,0.021868431,0.022167529,0.01787639,0.011212759,0.019968883,0.016028206,0.015717519,0.014928883,0.01046798,0.021637293,0.013811385,0.012857067 -10/12/2022 15:45,0.018499254,0.021301221,0.012416138,0.012049867,0.009631425,0.019362409,0.021443188,0.021506304,0.017291017,0.010425117,0.019661629,0.015543967,0.015427121,0.014621629,0.009924746,0.0212879,0.013411425,0.012448679 -10/12/2022 16:00,0.017864058,0.020701838,0.011906288,0.0115624,0.009081285,0.018830175,0.020879618,0.020817388,0.01664239,0.00966905,0.019160733,0.01494906,0.014935178,0.014120733,0.009298503,0.02076462,0.012861285,0.011894063 -10/12/2022 16:15,0.01728027,0.020125678,0.011349197,0.011010077,0.008515613,0.018268317,0.020311086,0.020222159,0.016055742,0.009059519,0.018605549,0.014373854,0.014381901,0.013565549,0.008716622,0.020204669,0.012295613,0.011327438 -10/12/2022 16:30,0.017011456,0.019884742,0.011177957,0.010856261,0.00831301,0.018079653,0.020098028,0.019911527,0.015776473,0.008696615,0.018441279,0.014136403,0.0142246,0.013401279,0.008454777,0.020022975,0.01209301,0.011121349 -10/12/2022 16:45,0.016780996,0.019662952,0.010977844,0.010661567,0.008103143,0.017874121,0.019884909,0.019668061,0.015542762,0.008436892,0.018243333,0.013915697,0.014028823,0.013203333,0.008226485,0.01981961,0.011883143,0.010910398 -10/12/2022 17:00,0.016215355,0.01903225,0.010184486,0.009827545,0.00738298,0.017121427,0.019189145,0.019200014,0.01500152,0.008090836,0.01743371,0.013276862,0.013202934,0.01239371,0.007644579,0.019050651,0.01116298,0.010198368 -10/12/2022 17:15,0.016100389,0.018921068,0.010082766,0.00972819,0.007277002,0.017017342,0.019081747,0.019079371,0.014885135,0.007963098,0.017332936,0.013166153,0.013103105,0.012292936,0.007530559,0.018947511,0.011057002,0.010091917 -10/12/2022 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04:30,0.004739891,0.004640978,0.003739222,0.007565615,0.004030947,0.004497305,0.005130028,0.005413298,0.008359899,0.004529667,0.007949458,0.004194043,0.004711813,0.004080077,0.004701509,0.008099547,0.003923847,0.004622171 -11/12/2022 04:45,0.003680444,0.003437244,0.002462991,0.007621708,0.00296793,0.003271182,0.004073105,0.004518911,0.008607114,0.003722874,0.007899037,0.003019335,0.003666986,0.002846175,0.003902478,0.00806034,0.002700772,0.003675852 -11/12/2022 05:00,0.003422039,0.003082398,0.001953483,0.007538678,0.002584681,0.002815045,0.003719672,0.004393209,0.008814819,0.00371059,0.00780385,0.00266378,0.003214751,0.002340663,0.003714452,0.008000977,0.002265545,0.003341029 -11/12/2022 05:15,0.003625505,0.003236263,0.001984458,0.007629137,0.002675189,0.002884093,0.003839973,0.004675755,0.009118461,0.004067708,0.007912074,0.002807714,0.003242531,0.002366031,0.003914539,0.00813881,0.002349816,0.003447704 -11/12/2022 05:30,0.003604177,0.003191599,0.001721116,0.007733771,0.002458604,0.002757445,0.003816005,0.004785357,0.009469,0.004078022,0.008111849,0.002679909,0.003080875,0.002142888,0.003831215,0.008382085,0.002144673,0.003311558 -11/12/2022 05:45,0.00348014,0.003047927,0.001348323,0.007842867,0.00213361,0.002539525,0.003713475,0.004802188,0.009818378,0.003957582,0.008325146,0.00244073,0.002841076,0.001821809,0.003645194,0.008639294,0.001828255,0.00308335 -11/12/2022 06:00,0.004401482,0.004022536,0.001917327,0.007848829,0.002633337,0.003325536,0.004559124,0.005858002,0.010240803,0.004825324,0.00860617,0.003239063,0.003365197,0.0024151,0.004216769,0.009008254,0.002490822,0.003624654 -11/12/2022 06:15,0.004621134,0.004203028,0.001982621,0.007945184,0.002745491,0.003429692,0.00470771,0.006147561,0.010527192,0.005169899,0.008726496,0.003405348,0.00342657,0.00247666,0.004421892,0.009155991,0.002603268,0.003751675 -11/12/2022 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08:30,0.007246789,0.007189223,0.004627584,0.007877234,0.004898289,0.006293692,0.007359948,0.008637151,0.010501898,0.007106011,0.009207741,0.006086656,0.005711125,0.005117705,0.006155474,0.009711477,0.00523494,0.005794365 -11/12/2022 08:45,0.008303313,0.008431745,0.005810809,0.007817599,0.00583078,0.007538019,0.008474493,0.009578607,0.010319424,0.00777531,0.009367434,0.007210262,0.006730524,0.00629863,0.006833006,0.009882851,0.006377377,0.006662702 -11/12/2022 09:00,0.009228519,0.009632142,0.006530613,0.007702391,0.006232621,0.00865307,0.009605098,0.01057242,0.010361228,0.008002108,0.009788231,0.008035095,0.007501668,0.007132902,0.007066032,0.010390926,0.007113476,0.007167068 -11/12/2022 09:15,0.010533215,0.011381482,0.007335397,0.007937567,0.006560886,0.010256643,0.011354251,0.012110222,0.010960986,0.008071728,0.010979041,0.009076108,0.008599231,0.008199796,0.007228563,0.011748218,0.007968785,0.00778494 -11/12/2022 09:30,0.011855024,0.013035344,0.008381222,0.00810549,0.007229246,0.011806128,0.012942594,0.013535236,0.011337025,0.008533105,0.011808726,0.010259847,0.009741925,0.009396592,0.007711107,0.012687491,0.009038347,0.008597665 -11/12/2022 09:45,0.012109669,0.013489789,0.008472688,0.008206898,0.007115884,0.012244804,0.01345246,0.013881525,0.011508195,0.008188462,0.012305393,0.010407763,0.010020679,0.009619697,0.007512272,0.013242607,0.009130156,0.008631255 -11/12/2022 10:00,0.011819614,0.013179601,0.00846705,0.008235968,0.007124688,0.012057501,0.013181546,0.013460644,0.011229208,0.007935481,0.012148547,0.010231461,0.009969017,0.009575413,0.007424329,0.013022912,0.009054539,0.008571833 -11/12/2022 10:15,0.011942649,0.013397827,0.008667033,0.008461302,0.007223508,0.012338233,0.01345207,0.013557152,0.011314008,0.007759542,0.012477862,0.010363106,0.010242555,0.009823461,0.007421608,0.013347194,0.009214309,0.008709828 -11/12/2022 10:30,0.012038378,0.013575098,0.008816827,0.008631232,0.007286917,0.012563684,0.013672158,0.013635533,0.011376865,0.007600193,0.012743326,0.010461654,0.010456559,0.010015551,0.007402693,0.013610865,0.009332749,0.008809158 -11/12/2022 10:45,0.01318416,0.015147089,0.009375223,0.009178946,0.007413913,0.013993719,0.015322313,0.015085389,0.01234221,0.00748841,0.014264652,0.011287789,0.01143872,0.01087742,0.007441445,0.015307737,0.009954337,0.009297328 -11/12/2022 11:00,0.013495744,0.015540375,0.010058621,0.009924849,0.008003411,0.01457906,0.015811674,0.015235463,0.012624007,0.007516779,0.014933112,0.011724288,0.01215427,0.011573112,0.007823568,0.015906884,0.010523411,0.009859498 -11/12/2022 11:15,0.013542497,0.015630831,0.010258333,0.010151875,0.008153957,0.014751457,0.015945832,0.015216662,0.012654371,0.007416035,0.01514375,0.011820206,0.012375833,0.01178375,0.007881247,0.016090208,0.010673957,0.010004582 -11/12/2022 11:30,0.013634441,0.015765115,0.010498466,0.01041847,0.008346458,0.014965128,0.016122455,0.015245097,0.012730439,0.007365084,0.015394468,0.011959783,0.012637136,0.012034468,0.007983776,0.016314463,0.010866458,0.01019179 -11/12/2022 11:45,0.013771141,0.015932947,0.010744128,0.010683589,0.008557096,0.015191332,0.016321419,0.0153351,0.012855464,0.007396714,0.015647912,0.012131506,0.012898364,0.012287912,0.008128259,0.01654845,0.011077096,0.010398537 -11/12/2022 12:00,0.013197739,0.014996792,0.011473282,0.011528794,0.009634859,0.014739301,0.015453098,0.014138709,0.01244359,0.007823812,0.015226907,0.012138658,0.013185523,0.012682757,0.008965559,0.015807434,0.011542972,0.011008906 -11/12/2022 12:15,0.013923448,0.015873438,0.011779518,0.011803068,0.00979321,0.01546996,0.016322027,0.01506805,0.013103303,0.008122567,0.015961251,0.012669892,0.013663256,0.013116492,0.009175799,0.016648892,0.01192678,0.011337314 -11/12/2022 12:30,0.01434169,0.016298593,0.011956337,0.011948811,0.009968395,0.015787847,0.016709631,0.015596446,0.01351632,0.008540586,0.016249206,0.012993817,0.013870444,0.013320198,0.009440727,0.016988985,0.012165152,0.011564583 -11/12/2022 12:45,0.01488928,0.01688362,0.012145927,0.012096631,0.010127178,0.016221712,0.01725023,0.016309775,0.014045024,0.009004375,0.016649583,0.01339556,0.014128301,0.013565464,0.009712229,0.017469909,0.012440268,0.011816169 -11/12/2022 13:00,0.015257251,0.017235066,0.012229791,0.012140014,0.010234866,0.016439755,0.017547274,0.016805201,0.014416948,0.009447802,0.016822516,0.01365797,0.01422683,0.013666628,0.009943994,0.017701265,0.012601782,0.011971027 -11/12/2022 13:15,0.015789465,0.017831088,0.012341811,0.012206158,0.010289985,0.01686413,0.018099377,0.017533698,0.014918857,0.009820656,0.01721555,0.014014624,0.014435955,0.01385555,0.010116538,0.018191202,0.012809985,0.012146449 -11/12/2022 13:30,0.015898144,0.017883439,0.012253345,0.012082488,0.010264887,0.016810868,0.018095401,0.017726867,0.015048658,0.010119439,0.017113002,0.014059935,0.014319326,0.013753002,0.010211134,0.018123859,0.012784887,0.012128392 -11/12/2022 13:45,0.016059569,0.018003235,0.012269066,0.01207219,0.010327442,0.016852608,0.018173567,0.017950737,0.015225695,0.010421364,0.017118315,0.014174526,0.014314232,0.013758315,0.010362152,0.018155191,0.012847442,0.01219615 -11/12/2022 14:00,0.016039617,0.017914116,0.012007031,0.011766926,0.010143219,0.016633802,0.018015282,0.018034534,0.015231679,0.010634848,0.016838989,0.014076762,0.014017614,0.013478989,0.010324908,0.017919094,0.012663219,0.012020573 -11/12/2022 14:15,0.01621149,0.018049474,0.0120511,0.011788174,0.010228368,0.016700694,0.018114124,0.01826118,0.015417246,0.01092996,0.01687393,0.014207555,0.014043426,0.01351393,0.010487652,0.017976856,0.012748368,0.012110287 -11/12/2022 14:30,0.016353236,0.018160538,0.012085461,0.011803358,0.010297246,0.01675423,0.018194507,0.018448948,0.015570497,0.011175256,0.01690062,0.014314784,0.014062446,0.01354062,0.010621728,0.018022723,0.012817246,0.012183 -11/12/2022 14:45,0.016411009,0.01819812,0.012072564,0.011777842,0.010307064,0.016753953,0.018211898,0.01853701,0.015635843,0.011301177,0.016882675,0.014349842,0.014039453,0.013522675,0.010674454,0.018017397,0.012827064,0.012195342 -11/12/2022 15:00,0.016692387,0.018636176,0.011859102,0.011523285,0.009941466,0.017013578,0.018631997,0.019056722,0.015848126,0.011144529,0.017138077,0.014406512,0.01401003,0.013447189,0.010386077,0.018396615,0.012709632,0.012018113 -11/12/2022 15:15,0.018760101,0.021511625,0.012500434,0.012102636,0.00977247,0.019478231,0.021603148,0.021842816,0.01757078,0.010856209,0.019733315,0.015748065,0.015486195,0.014693315,0.010172982,0.021391112,0.01355247,0.012596029 -11/12/2022 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10:30,0.011225792,0.012739651,0.008190475,0.008026072,0.006680126,0.011805889,0.012858421,0.01273643,0.010575491,0.006841596,0.012001595,0.009725685,0.009791801,0.009358267,0.006739799,0.012826829,0.008662622,0.008152151 -14/12/2022 10:45,0.011642049,0.01330759,0.008512985,0.008360145,0.00684644,0.012375495,0.013473477,0.013208588,0.010928676,0.006800273,0.012619308,0.010072499,0.010253441,0.009777859,0.006829378,0.01348251,0.008977527,0.008424019 -14/12/2022 11:00,0.012714232,0.014678606,0.00951736,0.009402875,0.007540387,0.013802703,0.014956888,0.014337868,0.011877758,0.006960796,0.014157126,0.011052797,0.011520076,0.010962426,0.00732619,0.015070286,0.009936412,0.00930262 -14/12/2022 11:15,0.012662884,0.014585802,0.009696125,0.009605731,0.00775711,0.013802006,0.014885439,0.014178454,0.011845674,0.007016712,0.014170983,0.011099026,0.011640097,0.01109529,0.007483485,0.0150303,0.01006388,0.009449733 -14/12/2022 11:30,0.012480486,0.014290339,0.009875083,0.009814912,0.008045758,0.013637234,0.014603647,0.013822132,0.01171318,0.007150042,0.014009835,0.011080424,0.011685813,0.011174276,0.007714732,0.014778896,0.010172427,0.009601597 -14/12/2022 11:45,0.012118023,0.013730167,0.009986803,0.009958467,0.00835293,0.013234214,0.014040983,0.013227091,0.011436417,0.007353385,0.013591792,0.010943767,0.011580521,0.011126117,0.007983533,0.014236546,0.010202186,0.00970102 -14/12/2022 12:00,0.010832501,0.011793406,0.010532707,0.010645146,0.009536405,0.011937088,0.012141128,0.011053193,0.010435855,0.007908141,0.012281686,0.010505619,0.011384296,0.011119865,0.008934655,0.012459701,0.01040777,0.010146463 -14/12/2022 12:15,0.011490244,0.012564642,0.010845211,0.010929643,0.009738401,0.012585052,0.012901568,0.011877585,0.011043679,0.008247443,0.01292838,0.011005667,0.011828775,0.011531065,0.009187395,0.013193277,0.010786388,0.010482276 -14/12/2022 12:30,0.011741861,0.012769528,0.010973588,0.011034186,0.009918417,0.012720568,0.013066473,0.012181004,0.011313219,0.008653266,0.013028469,0.011220208,0.011929702,0.01164394,0.009450861,0.013314003,0.010956813,0.010660096 -14/12/2022 12:45,0.012540102,0.01369652,0.011236274,0.011245923,0.010059067,0.013442579,0.013957127,0.013233594,0.012053404,0.009102778,0.013729545,0.011784244,0.012356684,0.012032219,0.009705656,0.014144227,0.011332062,0.010981237 -14/12/2022 13:00,0.012970896,0.014122463,0.011329276,0.011293141,0.010164946,0.013714212,0.014324515,0.013817232,0.012482838,0.009577856,0.013953475,0.012086272,0.012479766,0.012154393,0.009947978,0.01443938,0.011514258,0.011151673 -14/12/2022 13:15,0.013290662,0.014392887,0.011383269,0.011303892,0.010276602,0.013849989,0.014530016,0.014253244,0.012820184,0.010072249,0.01403347,0.012314753,0.012518519,0.012204867,0.01020108,0.014569998,0.011648054,0.01128805 -14/12/2022 13:30,0.013621581,0.014684418,0.011430254,0.011306794,0.010371277,0.014001548,0.014757706,0.014709525,0.013164425,0.010548811,0.014130776,0.012545215,0.012560611,0.01225584,0.010436887,0.014722971,0.011777479,0.011416767 -14/12/2022 13:45,0.013946258,0.014972899,0.011533499,0.01137479,0.010517433,0.014179274,0.014994129,0.015131487,0.013501737,0.011003895,0.014263996,0.012792755,0.012655356,0.012359009,0.010697213,0.014898952,0.011946174,0.011586335 -14/12/2022 14:00,0.014045284,0.01500283,0.011389887,0.011187886,0.010451572,0.014079288,0.014954831,0.015334522,0.013626666,0.011336185,0.014103443,0.012813739,0.012477279,0.0121982,0.010778494,0.014781755,0.011880504,0.011529271 -14/12/2022 14:15,0.014269338,0.015211003,0.011445454,0.011218482,0.010527615,0.014206579,0.015128223,0.015633626,0.013855555,0.011623659,0.014201545,0.012976531,0.012536345,0.01226049,0.010932675,0.01491378,0.011983406,0.011629806 -14/12/2022 14:30,0.014400854,0.015332462,0.011470804,0.01122809,0.010565921,0.014277059,0.015227745,0.015812427,0.013990139,0.011795291,0.014253611,0.013069456,0.012563858,0.012290048,0.011020253,0.014987216,0.012038593,0.011683515 -14/12/2022 14:45,0.014695645,0.01572625,0.011508673,0.011247421,0.010506375,0.014583335,0.015619518,0.016232519,0.014241826,0.011808471,0.01456477,0.013243691,0.012712363,0.012409817,0.010987584,0.01536476,0.012122589,0.011731877 -14/12/2022 15:00,0.014440293,0.01547069,0.011085673,0.010802047,0.010087469,0.01425183,0.015335807,0.016053217,0.013984897,0.011568342,0.014210472,0.012923947,0.012306172,0.012002575,0.010634748,0.015046071,0.011743392,0.011346271 -14/12/2022 15:15,0.018031264,0.020404285,0.012237119,0.01184133,0.009893566,0.018471558,0.020417001,0.020869402,0.017001626,0.011249056,0.018637967,0.015281528,0.014852235,0.01416581,0.010394508,0.020151796,0.013247683,0.012407565 -14/12/2022 15:30,0.017590412,0.019958215,0.011986903,0.01161569,0.009644388,0.018110261,0.020000683,0.020341591,0.016564802,0.010807639,0.018300403,0.014915098,0.014578244,0.013894504,0.010074285,0.019773091,0.012948812,0.012117397 -14/12/2022 15:45,0.017641862,0.020181378,0.01194431,0.011587797,0.009424692,0.018340782,0.020279209,0.020450841,0.01654497,0.010340028,0.018587021,0.014892579,0.01469193,0.013960669,0.009762968,0.020100122,0.012894456,0.012014786 -14/12/2022 16:00,0.017400724,0.020009616,0.011756529,0.011418128,0.009163245,0.018213342,0.020145107,0.020191606,0.016275939,0.009881232,0.01849462,0.014656669,0.014558033,0.013808176,0.009428588,0.020004631,0.012678078,0.011782434 -14/12/2022 16:15,0.01682778,0.019400034,0.011201845,0.010860067,0.008646391,0.017601372,0.019523409,0.019607148,0.015718186,0.009419197,0.017870436,0.014098813,0.013970187,0.013230457,0.008931994,0.019372208,0.012126376,0.011240958 -14/12/2022 16:30,0.015683139,0.017965425,0.010716596,0.010416703,0.008448633,0.016380925,0.018079109,0.018137763,0.014698877,0.009107525,0.01662307,0.013271486,0.013170314,0.01251414,0.008692137,0.017950195,0.011530331,0.010745696 -14/12/2022 16:45,0.015129007,0.017315552,0.010438675,0.010160407,0.008264284,0.015828241,0.017435828,0.017449866,0.014186708,0.008823334,0.016069421,0.012844608,0.012782584,0.012154385,0.008470889,0.017326448,0.011200561,0.010451457 -14/12/2022 17:00,0.015085573,0.017406282,0.009970555,0.00965697,0.007665911,0.015765748,0.017511022,0.017610952,0.014084098,0.0084049,0.016003183,0.012608389,0.012472154,0.011804504,0.007939016,0.017366437,0.01081492,0.010014575 -14/12/2022 17:15,0.014938861,0.017320467,0.009834852,0.009532392,0.007466373,0.015702622,0.017452267,0.01746461,0.013912546,0.008070246,0.01596596,0.012452495,0.01238738,0.01170317,0.007689544,0.017334118,0.010663466,0.009847718 -14/12/2022 17:30,0.014462184,0.016802208,0.009587151,0.009308609,0.00725679,0.015275917,0.01695512,0.016880373,0.013455174,0.007701324,0.015553604,0.012072986,0.012080941,0.011409602,0.007421074,0.016868146,0.010364792,0.009568677 -14/12/2022 17:45,0.014075762,0.016419788,0.009327307,0.009066269,0.006989841,0.014951956,0.016595547,0.016436869,0.013068367,0.0072916,0.015248394,0.011734334,0.011811693,0.011140097,0.00710136,0.016536507,0.010071063,0.009278788 -14/12/2022 18:00,0.013304423,0.015593506,0.008454385,0.008171095,0.006176631,0.014063718,0.015729508,0.015706783,0.012318532,0.006697803,0.014324369,0.010936053,0.010902107,0.010244846,0.006369238,0.015627539,0.009236274,0.008454363 -14/12/2022 18:15,0.012469526,0.014611673,0.0080739,0.007827863,0.005939046,0.01324485,0.014762898,0.014652753,0.011548337,0.006274535,0.013508153,0.010308179,0.010350005,0.009735879,0.006063031,0.014697259,0.008768251,0.008042047 -14/12/2022 18:30,0.011956759,0.014069401,0.007770075,0.007547203,0.005661194,0.012788575,0.014243385,0.01404258,0.01104973,0.005834186,0.013068354,0.009882221,0.009999794,0.009395108,0.005725126,0.014209538,0.008416129,0.007705648 -14/12/2022 18:45,0.012150866,0.014478199,0.007690768,0.007465508,0.005364061,0.013136036,0.014695316,0.014379662,0.011153169,0.005392873,0.013464843,0.009923949,0.01013167,0.009466539,0.005374709,0.014689679,0.008362789,0.007585967 -14/12/2022 19:00,0.011836279,0.0141987,0.007458362,0.007249619,0.005093121,0.012903937,0.014444104,0.014030878,0.010825022,0.0049634,0.013257943,0.009633221,0.009920925,0.009246753,0.005045181,0.014469484,0.008101514,0.00731874 -14/12/2022 19:15,0.010868624,0.013038375,0.006986534,0.006813309,0.004810984,0.011912026,0.013286997,0.012821268,0.009941216,0.004544195,0.012255961,0.00889858,0.009234199,0.008615927,0.004712388,0.013339195,0.007541009,0.006827425 -14/12/2022 19:30,0.010046991,0.012058784,0.00661571,0.006477509,0.00459465,0.011090565,0.012317462,0.011781167,0.009188766,0.004168348,0.011432244,0.008285014,0.008682703,0.008110552,0.004437104,0.012400869,0.007085919,0.006430767 -14/12/2022 19:45,0.009475885,0.011401714,0.006326623,0.00621237,0.004388791,0.010536154,0.011672004,0.011074522,0.008655674,0.003836658,0.010881575,0.00784124,0.008291573,0.007744766,0.004184742,0.01178003,0.006741398,0.00611946 -14/12/2022 20:00,0.009997092,0.012202489,0.006382142,0.006250169,0.004163196,0.011207424,0.012510592,0.011831663,0.009057728,0.003539969,0.011601836,0.008121875,0.008633204,0.008006961,0.003932873,0.012632528,0.006859352,0.0061468 -14/12/2022 20:15,0.009754222,0.011945309,0.006240952,0.006120259,0.004034595,0.010992108,0.012264507,0.011541396,0.008821729,0.003332193,0.011394556,0.007921239,0.008469481,0.007847819,0.003775012,0.012401934,0.006694648,0.005989735 -14/12/2022 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12:30,0.013392814,0.014957428,0.011767832,0.011799419,0.010171874,0.014676801,0.015333306,0.014267992,0.012735698,0.008730071,0.015083901,0.012423605,0.013269637,0.012831559,0.009639034,0.015615398,0.01186113,0.011391831 -15/12/2022 12:45,0.013752399,0.015293418,0.011889084,0.01188517,0.010323273,0.014898051,0.015619629,0.014733641,0.013102587,0.00918284,0.015263407,0.012696782,0.013394872,0.012961665,0.009901809,0.015842757,0.01204958,0.011577227 -15/12/2022 13:00,0.013903798,0.015326617,0.012009314,0.011982501,0.010567631,0.014882775,0.015598664,0.014888768,0.013302103,0.009699882,0.015196525,0.012862236,0.013417244,0.013016114,0.010246941,0.015768441,0.012202939,0.011760106 -15/12/2022 13:15,0.014304771,0.015707678,0.012080674,0.012006779,0.010667404,0.015108849,0.015916302,0.015437547,0.013707967,0.010190674,0.015369966,0.013140904,0.013504983,0.013107114,0.010491221,0.016009575,0.012364543,0.01191418 -15/12/2022 13:30,0.014824529,0.01625442,0.012182874,0.012057614,0.010751087,0.015474432,0.016404318,0.016149147,0.01421253,0.010663905,0.015689803,0.013494225,0.013672552,0.013264553,0.010718868,0.016421375,0.012570025,0.012096553 -15/12/2022 13:45,0.015357102,0.016826332,0.012329181,0.012158686,0.010865256,0.015882941,0.016927859,0.016860452,0.014725158,0.011109296,0.016061758,0.013869667,0.013891616,0.01347032,0.010955444,0.016880112,0.012808834,0.012310248 -15/12/2022 14:00,0.015271699,0.016626405,0.011992203,0.011770021,0.010653666,0.015535842,0.016638394,0.016879109,0.014684181,0.011397426,0.01563467,0.013712794,0.013482253,0.013090575,0.010928534,0.016492875,0.012561737,0.012083221 -15/12/2022 14:15,0.015315871,0.016589397,0.012010098,0.01177154,0.010756925,0.015463337,0.01656337,0.016928052,0.014761352,0.011693147,0.015526061,0.013764748,0.013433432,0.013063752,0.01110292,0.016380197,0.012603657,0.012145227 -15/12/2022 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10:30,0.011835438,0.013390096,0.008115623,0.007866475,0.006578509,0.012158362,0.013411175,0.013660257,0.011161637,0.007385524,0.0122777,0.010063249,0.009821171,0.009371971,0.006876753,0.01325328,0.008757806,0.008210346 -25/12/2022 10:45,0.011883944,0.013485825,0.008305158,0.008082292,0.006715479,0.012331657,0.013550067,0.013648933,0.011192194,0.007276763,0.012489029,0.01015556,0.010036775,0.009575608,0.00692291,0.01344025,0.008900545,0.008346248 -25/12/2022 11:00,0.011759462,0.013282419,0.008913966,0.008776301,0.007389727,0.012437223,0.013436733,0.013184771,0.011107314,0.007330814,0.01266229,0.01033031,0.010503834,0.01006907,0.007367955,0.013448259,0.009334643,0.008829125 -25/12/2022 11:15,0.012593379,0.014433675,0.009365651,0.009227377,0.007518935,0.01350773,0.014655411,0.014220083,0.011807432,0.007223604,0.013808234,0.010947414,0.011265454,0.010741489,0.007409791,0.014713193,0.009818993,0.009216261 -25/12/2022 11:30,0.01262166,0.014483422,0.009576368,0.00946581,0.007703021,0.013646297,0.014744587,0.014167477,0.011828727,0.007170103,0.013980119,0.011041088,0.011476031,0.010947409,0.007506073,0.014848854,0.009977553,0.009376275 -25/12/2022 11:45,0.01247864,0.014274844,0.009728555,0.009646939,0.007916826,0.013552281,0.01455828,0.013884732,0.011715492,0.007202693,0.013899812,0.011025974,0.01154228,0.011033514,0.007652907,0.014698002,0.010066549,0.009493689 -25/12/2022 12:00,0.010382638,0.01129168,0.009935226,0.010019769,0.008996485,0.011353465,0.011593215,0.010665741,0.010005777,0.007630365,0.011657275,0.010010441,0.010757449,0.010506208,0.008491615,0.011860499,0.009859786,0.009606269 -25/12/2022 12:15,0.010427888,0.011254096,0.010003715,0.010078218,0.00915092,0.011302316,0.01152522,0.010693148,0.010085193,0.007927933,0.011576068,0.010082868,0.010752791,0.010524328,0.008698946,0.0117645,0.009939725,0.009708633 -25/12/2022 12:30,0.010592813,0.011339641,0.010086752,0.010137755,0.009318728,0.011327716,0.011564186,0.010888235,0.010281828,0.008343718,0.011558553,0.010233803,0.010776286,0.010568962,0.008958398,0.011754949,0.010060921,0.009847305 -25/12/2022 12:45,0.010915166,0.01162304,0.010190542,0.01020624,0.009468244,0.011500857,0.011794865,0.011306328,0.010617974,0.008804698,0.01168647,0.01048073,0.010868929,0.0106708,0.00922302,0.011924689,0.010229996,0.01001808 -25/12/2022 13:00,0.011645207,0.012461048,0.010400172,0.010363643,0.009577186,0.012134696,0.012590465,0.012282015,0.011298624,0.009248505,0.012293095,0.010986963,0.011223559,0.010992503,0.009455717,0.012654772,0.01055263,0.010292592 -25/12/2022 13:15,0.011848352,0.012616083,0.010389054,0.010316343,0.009621252,0.012178759,0.012689711,0.012578141,0.011519354,0.00961801,0.012288848,0.01111835,0.011193035,0.010973704,0.009620054,0.012690345,0.01060761,0.010351817 -25/12/2022 13:30,0.011960867,0.012672234,0.010311674,0.010204718,0.009607111,0.012132567,0.012690733,0.012771855,0.011653079,0.009920112,0.012194337,0.011170292,0.011086725,0.010881533,0.009722785,0.012629493,0.010591714,0.010343251 -25/12/2022 13:45,0.012388607,0.013147026,0.010440654,0.010301348,0.009693876,0.012485808,0.013134996,0.013339301,0.012058582,0.010229375,0.012525969,0.011472837,0.011286188,0.011066171,0.009891778,0.013030224,0.010788725,0.010516517 -25/12/2022 14:00,0.012680929,0.013464013,0.010384429,0.010202587,0.00961996,0.012652199,0.01340385,0.013791947,0.012337343,0.010476285,0.012655033,0.011625757,0.011286358,0.011057301,0.009936428,0.013236308,0.010818259,0.010526205 -25/12/2022 14:15,0.013109231,0.013941644,0.010534288,0.010323164,0.009724758,0.013018137,0.013855296,0.014350937,0.012742676,0.010777351,0.013003027,0.011936172,0.011506587,0.011262217,0.010113759,0.013649354,0.011030365,0.010714757 -25/12/2022 14:30,0.012945494,0.013641251,0.010469289,0.010249651,0.009800151,0.012722705,0.013514843,0.014130358,0.012635904,0.011024621,0.012666188,0.011840486,0.011314794,0.011108401,0.010252673,0.013275273,0.010968491,0.010692207 -25/12/2022 14:45,0.013063065,0.013760468,0.010467978,0.010232758,0.00979987,0.012788589,0.013614841,0.014302016,0.012751622,0.011147482,0.012716628,0.011912001,0.011326935,0.011119307,0.010297901,0.013351178,0.010997861,0.010716567 -25/12/2022 15:00,0.013036251,0.013788172,0.010120104,0.009850745,0.009402502,0.012686818,0.013611375,0.014425686,0.012699291,0.010981207,0.01259322,0.011749776,0.011058183,0.010833543,0.009985936,0.013302498,0.01072226,0.01041442 -25/12/2022 15:15,0.017566085,0.019974699,0.011599389,0.011186251,0.009222665,0.017974217,0.019973269,0.020485653,0.016520155,0.010689602,0.018131521,0.014742187,0.014262408,0.013565121,0.009764794,0.01968626,0.012647465,0.011791444 -25/12/2022 15:30,0.017292484,0.019754979,0.011418749,0.011026543,0.00898362,0.01781224,0.019791422,0.020174619,0.016225401,0.010242473,0.018003737,0.014492448,0.014118396,0.013407007,0.009448848,0.019545125,0.012431168,0.011564725 -25/12/2022 15:45,0.016608783,0.01900213,0.011073384,0.010715299,0.008702624,0.017192433,0.019066578,0.019331307,0.015573382,0.00974165,0.017402042,0.013954021,0.013679655,0.012989388,0.009086611,0.01886329,0.012012114,0.011176685 -25/12/2022 16:00,0.015943611,0.018280204,0.01059435,0.010252069,0.008278539,0.01653826,0.018352309,0.018576675,0.014933306,0.009234545,0.016750332,0.013372894,0.013133258,0.012459722,0.008631846,0.018165265,0.011496496,0.010682994 -25/12/2022 16:15,0.014967822,0.017114304,0.009913065,0.00957988,0.00778893,0.01545039,0.017156985,0.017450508,0.014038325,0.00881687,0.015626143,0.012552176,0.012259659,0.011639994,0.008168821,0.016955866,0.010778542,0.010025804 -25/12/2022 16:30,0.014343572,0.016354694,0.009628047,0.009318601,0.007637388,0.014804975,0.016398111,0.016660407,0.013472892,0.008578724,0.014972419,0.012088128,0.011824588,0.011244135,0.007985273,0.016213936,0.010433602,0.009729121 -25/12/2022 16:45,0.014224368,0.016267839,0.009477123,0.009168581,0.007453425,0.014713168,0.016319341,0.016558446,0.013340121,0.008362953,0.014889283,0.011949608,0.011704524,0.011115026,0.007789555,0.01614139,0.010284117,0.009570006 -25/12/2022 17:00,0.014086729,0.016233726,0.008808281,0.008445368,0.006688781,0.01446871,0.016239175,0.016670959,0.013154803,0.007953655,0.014614368,0.011584991,0.01117798,0.010556696,0.007156234,0.015991699,0.009732035,0.00897054 -25/12/2022 17:15,0.014230791,0.016518219,0.008800849,0.008440019,0.006538236,0.01472546,0.016556459,0.016896133,0.01323983,0.007679708,0.014906893,0.011639893,0.011305914,0.010645273,0.006960084,0.016333128,0.009734451,0.008930617 -25/12/2022 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11:30,0.013424058,0.015549185,0.010268671,0.010185209,0.008122902,0.0147388,0.01590098,0.015043033,0.012522135,0.007173419,0.015163286,0.01174316,0.012404568,0.011803286,0.007772006,0.016086748,0.010642902,0.009968928 -27/12/2022 11:45,0.013653327,0.015790551,0.010540279,0.010464377,0.008380901,0.015002847,0.016154442,0.015254157,0.012746868,0.007361861,0.015437918,0.011986037,0.012682224,0.012077918,0.008004299,0.01635382,0.010900901,0.010225415 -27/12/2022 12:00,0.012487261,0.014023314,0.011063004,0.011116811,0.009492224,0.013825239,0.014420966,0.013268845,0.011843836,0.007894753,0.01424808,0.011601495,0.012520062,0.012091112,0.008901854,0.014733515,0.01110995,0.010655812 -27/12/2022 12:15,0.013027794,0.014640161,0.011312345,0.01133945,0.009668623,0.014332469,0.01502067,0.013948229,0.012350218,0.008226298,0.014746457,0.012013295,0.012864127,0.012412409,0.00913559,0.015302864,0.011419159,0.010933961 -27/12/2022 12:30,0.012990333,0.014458326,0.011327718,0.011338968,0.009833508,0.014132573,0.014787895,0.013874074,0.012372428,0.008627536,0.014495842,0.012027942,0.012750762,0.012338825,0.009387822,0.015023846,0.01145127,0.011005633 -27/12/2022 12:45,0.01300925,0.014339997,0.011305612,0.011289629,0.009955644,0.01395577,0.014605864,0.013899513,0.012447168,0.009071437,0.014258462,0.012061322,0.012615517,0.012240796,0.009628872,0.014778861,0.011468893,0.011057347 -27/12/2022 13:00,0.012848055,0.013975936,0.011153222,0.011106239,0.010014852,0.013536711,0.014159271,0.01371645,0.012369173,0.009532373,0.013759271,0.011948195,0.012288861,0.011969606,0.009836545,0.014253669,0.011357101,0.010998622 -27/12/2022 13:15,0.013225797,0.01432783,0.011201756,0.011106804,0.010097987,0.013732076,0.014445352,0.01424129,0.012754242,0.010018123,0.013899678,0.012205096,0.01234866,0.01203429,0.010068472,0.014460977,0.011497028,0.011132578 -27/12/2022 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13:30,0.012792923,0.013617588,0.010806286,0.010672331,0.009991239,0.012958121,0.013626515,0.013767007,0.012435374,0.010433648,0.013019599,0.011847693,0.011712355,0.011473989,0.010154738,0.013539956,0.011150446,0.010859528 -28/12/2022 13:45,0.012836788,0.013532876,0.010781987,0.010618558,0.010102757,0.012805172,0.013477149,0.013830472,0.012531239,0.010878235,0.012805872,0.011893679,0.011585078,0.011381379,0.010389347,0.013325425,0.011171127,0.010911 -28/12/2022 14:00,0.012570417,0.013088887,0.010388419,0.01017987,0.009897574,0.012251965,0.012938315,0.013606167,0.012336377,0.011168307,0.012164231,0.011617541,0.0110526,0.010896573,0.010367193,0.012689694,0.010848317,0.010629453 -28/12/2022 14:15,0.012787638,0.01328932,0.010431248,0.010196797,0.009961964,0.012368579,0.013102603,0.013901039,0.012558747,0.01145225,0.012250491,0.011771431,0.011098751,0.010946157,0.010512722,0.012811025,0.010940214,0.010718991 -28/12/2022 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10:15,0.011158329,0.01259961,0.008236807,0.008076059,0.006799603,0.011696254,0.012707374,0.012610939,0.010538891,0.006987086,0.011878279,0.009717947,0.009764576,0.009351617,0.00686889,0.012670693,0.008694599,0.00820738 +27/12/2022 10:30,0.011852805,0.013557709,0.008584744,0.008419623,0.006880317,0.012574143,0.013716628,0.013485882,0.011121928,0.00690226,0.012814906,0.01022116,0.010372924,0.009885672,0.006888426,0.013712335,0.009077243,0.008508146 +27/12/2022 10:45,0.01196215,0.013714905,0.008788454,0.008643498,0.007031886,0.012787965,0.013909436,0.013556625,0.011212604,0.006856468,0.013060694,0.010356235,0.010607967,0.01010827,0.006967058,0.013943757,0.009246204,0.008668308 +27/12/2022 11:00,0.012910727,0.014920131,0.009747618,0.009644774,0.00772285,0.014072603,0.015222712,0.01452301,0.012056139,0.007016088,0.014449652,0.011252351,0.011785397,0.011215672,0.007461655,0.015360991,0.010148335,0.009504141 +27/12/2022 11:15,0.012973506,0.014985967,0.00992812,0.009841449,0.007897437,0.014192615,0.015309521,0.014532642,0.012118832,0.007059235,0.014586837,0.011359704,0.011956585,0.011386802,0.007587667,0.015473517,0.010297464,0.009657013 +27/12/2022 11:30,0.013424058,0.015549185,0.010268671,0.010185209,0.008122902,0.0147388,0.01590098,0.015043033,0.012522135,0.007173419,0.015163286,0.01174316,0.012404568,0.011803286,0.007772006,0.016086748,0.010642902,0.009968928 +27/12/2022 11:45,0.013653327,0.015790551,0.010540279,0.010464377,0.008380901,0.015002847,0.016154442,0.015254157,0.012746868,0.007361861,0.015437918,0.011986037,0.012682224,0.012077918,0.008004299,0.01635382,0.010900901,0.010225415 +27/12/2022 12:00,0.012487261,0.014023314,0.011063004,0.011116811,0.009492224,0.013825239,0.014420966,0.013268845,0.011843836,0.007894753,0.01424808,0.011601495,0.012520062,0.012091112,0.008901854,0.014733515,0.01110995,0.010655812 +27/12/2022 12:15,0.013027794,0.014640161,0.011312345,0.01133945,0.009668623,0.014332469,0.01502067,0.013948229,0.012350218,0.008226298,0.014746457,0.012013295,0.012864127,0.012412409,0.00913559,0.015302864,0.011419159,0.010933961 +27/12/2022 12:30,0.012990333,0.014458326,0.011327718,0.011338968,0.009833508,0.014132573,0.014787895,0.013874074,0.012372428,0.008627536,0.014495842,0.012027942,0.012750762,0.012338825,0.009387822,0.015023846,0.01145127,0.011005633 +27/12/2022 12:45,0.01300925,0.014339997,0.011305612,0.011289629,0.009955644,0.01395577,0.014605864,0.013899513,0.012447168,0.009071437,0.014258462,0.012061322,0.012615517,0.012240796,0.009628872,0.014778861,0.011468893,0.011057347 +27/12/2022 13:00,0.012848055,0.013975936,0.011153222,0.011106239,0.010014852,0.013536711,0.014159271,0.01371645,0.012369173,0.009532373,0.013759271,0.011948195,0.012288861,0.011969606,0.009836545,0.014253669,0.011357101,0.010998622 +27/12/2022 13:15,0.013225797,0.01432783,0.011201756,0.011106804,0.010097987,0.013732076,0.014445352,0.01424129,0.012754242,0.010018123,0.013899678,0.012205096,0.01234866,0.01203429,0.010068472,0.014460977,0.011497028,0.011132578 +27/12/2022 13:30,0.013273748,0.014241882,0.011130446,0.010998366,0.010169233,0.013553214,0.014283992,0.014331558,0.012855868,0.010487586,0.013650983,0.0122367,0.012175,0.011896413,0.010286885,0.014221706,0.011485161,0.011150915 +27/12/2022 13:45,0.013768556,0.014760648,0.011280857,0.011106682,0.010302595,0.013923058,0.014755027,0.014984744,0.013337446,0.010938792,0.013983779,0.012593858,0.012380782,0.012093375,0.010537711,0.014630554,0.011720397,0.011366649 +27/12/2022 14:00,0.013601043,0.01443998,0.010990125,0.010775241,0.010174614,0.013502086,0.014350312,0.014859647,0.013231458,0.011252259,0.013484719,0.012412719,0.011971645,0.011725255,0.010572874,0.014139468,0.011494212,0.011175521 +27/12/2022 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14:15,0.014875309,0.015484988,0.012142823,0.011875382,0.011569482,0.01442541,0.015280034,0.016168875,0.014598444,0.013241037,0.01429967,0.013690757,0.01294073,0.012756154,0.012187231,0.01495299,0.012727119,0.012463329 +31/12/2022 14:30,0.014897554,0.015520632,0.012134673,0.011865305,0.011548045,0.014451192,0.015316138,0.016206092,0.014614898,0.013224783,0.014326706,0.013698367,0.012947111,0.012758674,0.012167709,0.014988081,0.012724069,0.012455624 +31/12/2022 14:45,0.014756406,0.015385733,0.012,0.011732487,0.011406699,0.014321042,0.015184911,0.016062557,0.014471254,0.013063884,0.014199937,0.013558332,0.012817123,0.012627022,0.012019137,0.014860679,0.012586385,0.012316566 +31/12/2022 15:00,0.014227129,0.014836569,0.011427611,0.011151199,0.01085607,0.013746581,0.014620295,0.015551089,0.013949697,0.012599421,0.013611664,0.013016865,0.012232106,0.012047152,0.011500352,0.014279204,0.012029454,0.011763142 +31/12/2022 15:15,0.019680438,0.022365568,0.013188393,0.012749099,0.010535122,0.020207687,0.022390698,0.022862743,0.018516015,0.012000625,0.020404675,0.016593709,0.016140958,0.015364675,0.011076721,0.022103969,0.014315122,0.013366981 +31/12/2022 15:30,0.01914739,0.02189692,0.012880746,0.012481702,0.010155025,0.01985979,0.021986451,0.022233095,0.017958816,0.011250226,0.020113129,0.016133112,0.015865511,0.015073129,0.010559773,0.021772172,0.013935025,0.012978833 +31/12/2022 15:45,0.015781686,0.017629419,0.011614875,0.011352639,0.009782113,0.016280567,0.017697032,0.017835149,0.014983384,0.01047078,0.016456842,0.013773136,0.013616183,0.013083982,0.01003662,0.017562293,0.012311758,0.011670895 +31/12/2022 16:00,0.014565753,0.016245359,0.010933978,0.010716377,0.009264376,0.015089804,0.016332916,0.016361634,0.013841636,0.009724532,0.015271156,0.012799883,0.012737389,0.012254643,0.009434434,0.016242885,0.011526761,0.01095022 +31/12/2022 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18:15,0.008378319,0.008820456,0.006925149,0.006801619,0.006497144,0.008291239,0.008760282,0.009076642,0.008182776,0.007147177,0.008271634,0.00772239,0.007450248,0.007319886,0.006737373,0.008633101,0.007210954,0.007040024 +31/12/2022 18:30,0.007847286,0.008217619,0.006659967,0.006560477,0.00630078,0.007787861,0.008172215,0.008418653,0.007683795,0.006813485,0.007775484,0.007309355,0.007096765,0.006987771,0.006490258,0.008071903,0.006891565,0.006749544 +,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,, +,,,,,,,,,,,,,,,,,, diff --git a/Models/LoadinNetSim/example/collector.py b/src/illuminator/models/LoadinNetSim/example/collector.py similarity index 96% rename from Models/LoadinNetSim/example/collector.py rename to src/illuminator/models/LoadinNetSim/example/collector.py index 147e068..eb5db47 100644 --- a/Models/LoadinNetSim/example/collector.py +++ b/src/illuminator/models/LoadinNetSim/example/collector.py @@ -1,57 +1,57 @@ -""" -A simple data collector that prints all data when the simulation finishes. - -""" -import collections - -import mosaik_api - - -META = { - 'type': 'event-based', - 'models': { - 'Monitor': { - 'public': True, - 'any_inputs': True, - 'params': [], - 'attrs': [], - }, - }, -} - - -class Collector(mosaik_api.Simulator): - def __init__(self): - super().__init__(META) - self.eid = None - self.data = collections.defaultdict(lambda: - collections.defaultdict(dict)) - - def init(self, sid, time_resolution): - return self.meta - - def create(self, num, model): - if num > 1 or self.eid is not None: - raise RuntimeError('Can only create one instance of Monitor.') - - self.eid = 'Monitor' - return [{'eid': self.eid, 'type': model}] - - def step(self, time, inputs, max_advance): - data = inputs.get(self.eid, {}) - for attr, values in data.items(): - for src, value in values.items(): - self.data[src][attr][time] = value - - return None - - def finalize(self): - print('Collected data:') - for sim, sim_data in sorted(self.data.items()): - print('- %s:' % sim) - for attr, values in sorted(sim_data.items()): - print(' - %s: %s' % (attr, values)) - - -if __name__ == '__main__': - mosaik_api.start_simulation(Collector()) +""" +A simple data collector that prints all data when the simulation finishes. + +""" +import collections + +import mosaik_api + + +META = { + 'type': 'event-based', + 'models': { + 'Monitor': { + 'public': True, + 'any_inputs': True, + 'params': [], + 'attrs': [], + }, + }, +} + + +class Collector(mosaik_api.Simulator): + def __init__(self): + super().__init__(META) + self.eid = None + self.data = collections.defaultdict(lambda: + collections.defaultdict(dict)) + + def init(self, sid, time_resolution): + return self.meta + + def create(self, num, model): + if num > 1 or self.eid is not None: + raise RuntimeError('Can only create one instance of Monitor.') + + self.eid = 'Monitor' + return [{'eid': self.eid, 'type': model}] + + def step(self, time, inputs, max_advance): + data = inputs.get(self.eid, {}) + for attr, values in data.items(): + for src, value in values.items(): + self.data[src][attr][time] = value + + return None + + def finalize(self): + print('Collected data:') + for sim, sim_data in sorted(self.data.items()): + print('- %s:' % sim) + for attr, values in sorted(sim_data.items()): + print(' - %s: %s' % (attr, values)) + + +if __name__ == '__main__': + mosaik_api.start_simulation(Collector()) diff --git a/Models/LoadinNetSim/example/demo.py b/src/illuminator/models/LoadinNetSim/example/demo.py similarity index 95% rename from Models/LoadinNetSim/example/demo.py rename to src/illuminator/models/LoadinNetSim/example/demo.py index adba3f8..8fff084 100644 --- a/Models/LoadinNetSim/example/demo.py +++ b/src/illuminator/models/LoadinNetSim/example/demo.py @@ -1,59 +1,59 @@ - - -import mosaik -import mosaik.util -import random - -import pandas as pd - -SIM_CONFIG={ - 'Load':{ - 'python':'model_mosaikapi:LoadSim', - }, - 'Collector':{ - 'python':'collector:Collector', - }, -} - -START='2014-01-01 00:00:00' -END=24*3600 -PROFILE_FILE='demo_lv_grid.csv' -# GRID_NAME='demo_lv_grid' -# GRID_FILE='data/%s.json' % GRID_NAME -load_series=pd.Series([2,1],index=["node_1,load_1","node_2,load_2"]) -pf_load = pd.read_csv(PROFILE_FILE) - -# def main(): -# word=mosaik.World(SIM_CONFIG) -# create_scenario(word) -# word.run(until=END) -# -# -# def create_scenario(world): -# #start simulators -# load=world.start('Load') -# collector=world.start('Collector') -# #model_series, sim_start, profile_file -# #instantiate models -# model=load.LoadModel(num= len(pf_data.iloc[0].index[1:].to_list()),sim_start=START, pf_data=pf_load)#model_series, sim_start, profile_file -# print('good') -# monitor=collector.Monitor() -# -# #connect entities -# world.connect(model, monitor, 'P_out','name') -# -# if __name__ == '__main__': -# main() - -word=mosaik.World(SIM_CONFIG) -load=word.start('Load') -collector=word.start('Collector') -#model_series, sim_start, profile_file -#instantiate models -model= load.LoadModel(, #model_series, sim_start, profile_file -monitor=collector.Monitor() - -#connect entities -word.connect(model, monitor, 'P_out','name') - -word.run(until=END) + + +import mosaik +import mosaik.util +import random + +import pandas as pd + +SIM_CONFIG={ + 'Load':{ + 'python':'model_mosaikapi:LoadSim', + }, + 'Collector':{ + 'python':'collector:Collector', + }, +} + +START='2014-01-01 00:00:00' +END=24*3600 +PROFILE_FILE='demo_lv_grid.csv' +# GRID_NAME='demo_lv_grid' +# GRID_FILE='data/%s.json' % GRID_NAME +load_series=pd.Series([2,1],index=["node_1,load_1","node_2,load_2"]) +pf_load = pd.read_csv(PROFILE_FILE) + +# def main(): +# word=mosaik.World(SIM_CONFIG) +# create_scenario(word) +# word.run(until=END) +# +# +# def create_scenario(world): +# #start simulators +# load=world.start('Load') +# collector=world.start('Collector') +# #model_series, sim_start, profile_file +# #instantiate models +# model=load.LoadModel(num= len(pf_data.iloc[0].index[1:].to_list()),sim_start=START, pf_data=pf_load)#model_series, sim_start, profile_file +# print('good') +# monitor=collector.Monitor() +# +# #connect entities +# world.connect(model, monitor, 'P_out','name') +# +# if __name__ == '__main__': +# main() + +word=mosaik.World(SIM_CONFIG) +load=word.start('Load') +collector=word.start('Collector') +#model_series, sim_start, profile_file +#instantiate models +model= load.LoadModel(, #model_series, sim_start, profile_file +monitor=collector.Monitor() + +#connect entities +word.connect(model, monitor, 'P_out','name') + +word.run(until=END) diff --git a/Models/LoadinNetSim/example/demo_lv_grid.csv b/src/illuminator/models/LoadinNetSim/example/demo_lv_grid.csv similarity index 96% rename from Models/LoadinNetSim/example/demo_lv_grid.csv rename to src/illuminator/models/LoadinNetSim/example/demo_lv_grid.csv index da3bd0b..743282a 100644 --- a/Models/LoadinNetSim/example/demo_lv_grid.csv +++ b/src/illuminator/models/LoadinNetSim/example/demo_lv_grid.csv @@ -1,61 +1,61 @@ -Time,"node_1,load_1" -01/01/2014 00:00,1 -01/01/2014 00:01,1 -01/01/2014 00:02,1 -01/01/2014 00:03,2 -01/01/2014 00:04,2 -01/01/2014 00:05,2 -01/01/2014 00:06,2.4 -01/01/2014 00:07,2.657142857 -01/01/2014 00:08,2.914285714 -01/01/2014 00:09,3.171428571 -01/01/2014 00:10,3.428571429 -01/01/2014 00:11,3.685714286 -01/01/2014 00:12,3.942857143 -01/01/2014 00:13,4.2 -01/01/2014 00:14,4.457142857 -01/01/2014 00:15,4.714285714 -01/01/2014 00:16,4.971428571 -01/01/2014 00:17,5.228571429 -01/01/2014 00:18,5.485714286 -01/01/2014 00:19,5.742857143 -01/01/2014 00:20,6 -01/01/2014 00:21,6.257142857 -01/01/2014 00:22,6.514285714 -01/01/2014 00:23,6.771428571 -01/01/2014 00:24,7.028571429 -01/01/2014 00:25,7.285714286 -01/01/2014 00:26,7.542857143 -01/01/2014 00:27,7.8 -01/01/2014 00:28,8.057142857 -01/01/2014 00:29,8.314285714 -01/01/2014 00:30,8.571428571 -01/01/2014 00:31,8.828571429 -01/01/2014 00:32,9.085714286 -01/01/2014 00:33,9.342857143 -01/01/2014 00:34,9.6 -01/01/2014 00:35,9.857142857 -01/01/2014 00:36,10.11428571 -01/01/2014 00:37,10.37142857 -01/01/2014 00:38,10.62857143 -01/01/2014 00:39,10.88571429 -01/01/2014 00:40,11.14285714 -01/01/2014 00:41,11.4 -01/01/2014 00:42,11.65714286 -01/01/2014 00:43,11.91428571 -01/01/2014 00:44,12.17142857 -01/01/2014 00:45,12.42857143 -01/01/2014 00:46,12.68571429 -01/01/2014 00:47,12.94285714 -01/01/2014 00:48,13.2 -01/01/2014 00:49,13.45714286 -01/01/2014 00:50,13.71428571 -01/01/2014 00:51,13.97142857 -01/01/2014 00:52,14.22857143 -01/01/2014 00:53,14.48571429 -01/01/2014 00:54,14.74285714 -01/01/2014 00:55,15 -01/01/2014 00:56,15.25714286 -01/01/2014 00:57,15.51428571 -01/01/2014 00:58,15.77142857 -01/01/2014 00:59,16.02857143 +Time,"node_1,load_1" +01/01/2014 00:00,1 +01/01/2014 00:01,1 +01/01/2014 00:02,1 +01/01/2014 00:03,2 +01/01/2014 00:04,2 +01/01/2014 00:05,2 +01/01/2014 00:06,2.4 +01/01/2014 00:07,2.657142857 +01/01/2014 00:08,2.914285714 +01/01/2014 00:09,3.171428571 +01/01/2014 00:10,3.428571429 +01/01/2014 00:11,3.685714286 +01/01/2014 00:12,3.942857143 +01/01/2014 00:13,4.2 +01/01/2014 00:14,4.457142857 +01/01/2014 00:15,4.714285714 +01/01/2014 00:16,4.971428571 +01/01/2014 00:17,5.228571429 +01/01/2014 00:18,5.485714286 +01/01/2014 00:19,5.742857143 +01/01/2014 00:20,6 +01/01/2014 00:21,6.257142857 +01/01/2014 00:22,6.514285714 +01/01/2014 00:23,6.771428571 +01/01/2014 00:24,7.028571429 +01/01/2014 00:25,7.285714286 +01/01/2014 00:26,7.542857143 +01/01/2014 00:27,7.8 +01/01/2014 00:28,8.057142857 +01/01/2014 00:29,8.314285714 +01/01/2014 00:30,8.571428571 +01/01/2014 00:31,8.828571429 +01/01/2014 00:32,9.085714286 +01/01/2014 00:33,9.342857143 +01/01/2014 00:34,9.6 +01/01/2014 00:35,9.857142857 +01/01/2014 00:36,10.11428571 +01/01/2014 00:37,10.37142857 +01/01/2014 00:38,10.62857143 +01/01/2014 00:39,10.88571429 +01/01/2014 00:40,11.14285714 +01/01/2014 00:41,11.4 +01/01/2014 00:42,11.65714286 +01/01/2014 00:43,11.91428571 +01/01/2014 00:44,12.17142857 +01/01/2014 00:45,12.42857143 +01/01/2014 00:46,12.68571429 +01/01/2014 00:47,12.94285714 +01/01/2014 00:48,13.2 +01/01/2014 00:49,13.45714286 +01/01/2014 00:50,13.71428571 +01/01/2014 00:51,13.97142857 +01/01/2014 00:52,14.22857143 +01/01/2014 00:53,14.48571429 +01/01/2014 00:54,14.74285714 +01/01/2014 00:55,15 +01/01/2014 00:56,15.25714286 +01/01/2014 00:57,15.51428571 +01/01/2014 00:58,15.77142857 +01/01/2014 00:59,16.02857143 diff --git a/Models/LoadinNetSim/example/demo_lv_grid.xlsx b/src/illuminator/models/LoadinNetSim/example/demo_lv_grid.xlsx similarity index 100% rename from Models/LoadinNetSim/example/demo_lv_grid.xlsx rename to src/illuminator/models/LoadinNetSim/example/demo_lv_grid.xlsx diff --git a/Models/LoadinNetSim/example/loadmodel.py b/src/illuminator/models/LoadinNetSim/example/loadmodel.py similarity index 96% rename from Models/LoadinNetSim/example/loadmodel.py rename to src/illuminator/models/LoadinNetSim/example/loadmodel.py index 1a4d837..3b43d4c 100644 --- a/Models/LoadinNetSim/example/loadmodel.py +++ b/src/illuminator/models/LoadinNetSim/example/loadmodel.py @@ -1,43 +1,43 @@ - - -""" -Load class -xxx=LoadModel(pf_load,'node_1,load_1') -xxx.get(time) -type(time):Timestamp -""" -import pandas as pd - -class LoadModel: - """ - The LoadModel processes and prepares the load profiles and their mate data - """ - def __init__(self, pf, name): - self.data=pf - self.data['Time']=pd.to_datetime(self.data['Time']) #Timestamp - self.name=name - self.lasttime=self.data['Time'].iloc[-1] - #get the current data - - def get(self, target_time): - """Get the current load for all loads for *minutes* minutes since - :attr:`start`. - """ - # Trim "minutes" to multiples of "self.resolution" - # Example: res=15, target_time=2015-02-01 00:18:00 -> target_time=2015-02-01 00:15:00 - # target_time=pd.to_datetime(target_time) #Timestamp - # target_time.minute=target_time.minute//self.resolution * self.resolution - if target_time!=self.lasttime: - cache=self.data.loc[self.data['Time']==target_time] - target_name=self.name - #last_dat=cache.iloc[0].loc[target_name] - - - else: - cache = self.data.loc[self.data['Time'] == target_time] - target_name = self.name - #last_dat = cache.iloc[0].loc[target_name] - print('This is last time of Load simulation:', target_time) - - return cache.iloc[0].loc[target_name] - + + +""" +Load class +xxx=LoadModel(pf_load,'node_1,load_1') +xxx.get(time) +type(time):Timestamp +""" +import pandas as pd + +class LoadModel: + """ + The LoadModel processes and prepares the load profiles and their mate data + """ + def __init__(self, pf, name): + self.data=pf + self.data['Time']=pd.to_datetime(self.data['Time']) #Timestamp + self.name=name + self.lasttime=self.data['Time'].iloc[-1] + #get the current data + + def get(self, target_time): + """Get the current load for all loads for *minutes* minutes since + :attr:`start`. + """ + # Trim "minutes" to multiples of "self.resolution" + # Example: res=15, target_time=2015-02-01 00:18:00 -> target_time=2015-02-01 00:15:00 + # target_time=pd.to_datetime(target_time) #Timestamp + # target_time.minute=target_time.minute//self.resolution * self.resolution + if target_time!=self.lasttime: + cache=self.data.loc[self.data['Time']==target_time] + target_name=self.name + #last_dat=cache.iloc[0].loc[target_name] + + + else: + cache = self.data.loc[self.data['Time'] == target_time] + target_name = self.name + #last_dat = cache.iloc[0].loc[target_name] + print('This is last time of Load simulation:', target_time) + + return cache.iloc[0].loc[target_name] + diff --git a/Models/LoadinNetSim/example/model_mosaikapi.py b/src/illuminator/models/LoadinNetSim/example/model_mosaikapi.py similarity index 97% rename from Models/LoadinNetSim/example/model_mosaikapi.py rename to src/illuminator/models/LoadinNetSim/example/model_mosaikapi.py index ef2980e..6659ac2 100644 --- a/Models/LoadinNetSim/example/model_mosaikapi.py +++ b/src/illuminator/models/LoadinNetSim/example/model_mosaikapi.py @@ -1,104 +1,104 @@ -from typing import List, Dict, Union, Any - -import mosaik_api -import loadmodel -import pandas as pd -import datetime - -meta = { - 'type': 'time_based', - 'models': { - 'LoadModel': { - 'public': True, - 'params': [ - 'num', - 'sim_start', # (str)The start time for the simulation: "YYYY-MM-DD HH:SS" - 'pf_data', - ], - 'attrs': [ - 'P_out', # Active power [W] of each load - 'name', - ] - } - } -} - - -class LoadSim(mosaik_api.Simulator): - def __init__(self): - super().__init__(meta) - self.time_resolution = 1 - self.entities = {} - self.time = 0 - self.cachedata = {} - self._timeset=0 - self.model = None - self.load_id=None - - - def init(self, sid, time_resolution=15*60):#time_resolution is senconds - - self.time_resolution = time_resolution - print("The time_resolution of the load is:", self.time_resolution) - return self.meta - - def create(self, num, model, sim_start, pf_data): - #pf_data(dataframe) sim_start(str),num(len(entity) - entities=[] - # pf, time_resolution, node_name, load_name - self.load_id=pf_data.iloc[0].index[1:].to_list() - self._timeset=pd.to_datetime(sim_start) - - # models=pf.iloc[0].index[1:].to_list() - # model_series=pd.Series([2,1],index=["node_1,load_1","node_2,load_2"]) - for i in range(num): - load_instance=loadmodel.LoadModel(pf_data, self.load_id[i]) - self.entities[self.load_id[i]]=load_instance - entities.append({'id':self.load_id[i],'type':model}) - return entities - - def step(self, time, inputs, max_advance):#time is iteration steps. - minutes = int(time * self.time_resolution // 60) - self.time = self._timeset + datetime.timedelta(minutes=minutes) - cache = {} - # self.time = self.time + datetime.timedelta(minutes=self.time_resolution ) - for eid, model_instance in self.entities.items(): - if eid in inputs: - attrs=inputs[eid] - for attr, values in attrs.items(): - if attr=='P_out': - model_instance.P_out=values - print('the p_out of ',model_instance.name,"is changed!") - - data = model_instance.get(self.time) - for hid, d in enumerate(data): - cache['%s' % self.load_id[hid]] = d - self._cache = cache - - return time+1 - - def get_data(self, outputs): - data = {} - for eid, attrs in outputs.items(): - model = self.entities[eid] - data['time'] = self.time - data[eid] = {} - for attr in attrs: - if attr not in self.meta['models']['ExampleModel']['attrs']: - raise ValueError('Unknown output attribute: %s' % attr) - # Get model.val or model.delta: - data[eid][attr] = getattr(model, attr) - return data - - -def main(): - return mosaik_api.start_simulation(LoadSim()) - - -# if __name__ =='__main__': -# datafile = 'demo_lv_grid.csv' -# pf_load = pd.read_csv(datafile) -# START = '2014-01-01 00:00:00' -# sim = model_mosaikapi.LoadSim() -# sim.init('sid') -# eneti = sim.create(sim_start=START, pf_data=pf_load) +from typing import List, Dict, Union, Any + +import mosaik_api +import loadmodel +import pandas as pd +import datetime + +meta = { + 'type': 'time_based', + 'models': { + 'LoadModel': { + 'public': True, + 'params': [ + 'num', + 'sim_start', # (str)The start time for the simulation: "YYYY-MM-DD HH:SS" + 'pf_data', + ], + 'attrs': [ + 'P_out', # Active power [W] of each load + 'name', + ] + } + } +} + + +class LoadSim(mosaik_api.Simulator): + def __init__(self): + super().__init__(meta) + self.time_resolution = 1 + self.entities = {} + self.time = 0 + self.cachedata = {} + self._timeset=0 + self.model = None + self.load_id=None + + + def init(self, sid, time_resolution=15*60):#time_resolution is senconds + + self.time_resolution = time_resolution + print("The time_resolution of the load is:", self.time_resolution) + return self.meta + + def create(self, num, model, sim_start, pf_data): + #pf_data(dataframe) sim_start(str),num(len(entity) + entities=[] + # pf, time_resolution, node_name, load_name + self.load_id=pf_data.iloc[0].index[1:].to_list() + self._timeset=pd.to_datetime(sim_start) + + # models=pf.iloc[0].index[1:].to_list() + # model_series=pd.Series([2,1],index=["node_1,load_1","node_2,load_2"]) + for i in range(num): + load_instance=loadmodel.LoadModel(pf_data, self.load_id[i]) + self.entities[self.load_id[i]]=load_instance + entities.append({'id':self.load_id[i],'type':model}) + return entities + + def step(self, time, inputs, max_advance):#time is iteration steps. + minutes = int(time * self.time_resolution // 60) + self.time = self._timeset + datetime.timedelta(minutes=minutes) + cache = {} + # self.time = self.time + datetime.timedelta(minutes=self.time_resolution ) + for eid, model_instance in self.entities.items(): + if eid in inputs: + attrs=inputs[eid] + for attr, values in attrs.items(): + if attr=='P_out': + model_instance.P_out=values + print('the p_out of ',model_instance.name,"is changed!") + + data = model_instance.get(self.time) + for hid, d in enumerate(data): + cache['%s' % self.load_id[hid]] = d + self._cache = cache + + return time+1 + + def get_data(self, outputs): + data = {} + for eid, attrs in outputs.items(): + model = self.entities[eid] + data['time'] = self.time + data[eid] = {} + for attr in attrs: + if attr not in self.meta['models']['ExampleModel']['attrs']: + raise ValueError('Unknown output attribute: %s' % attr) + # Get model.val or model.delta: + data[eid][attr] = getattr(model, attr) + return data + + +def main(): + return mosaik_api.start_simulation(LoadSim()) + + +# if __name__ =='__main__': +# datafile = 'demo_lv_grid.csv' +# pf_load = pd.read_csv(datafile) +# START = '2014-01-01 00:00:00' +# sim = model_mosaikapi.LoadSim() +# sim.init('sid') +# eneti = sim.create(sim_start=START, pf_data=pf_load) diff --git a/Models/LoadinNetSim/example/profiles.data b/src/illuminator/models/LoadinNetSim/example/profiles.data similarity index 100% rename from Models/LoadinNetSim/example/profiles.data rename to src/illuminator/models/LoadinNetSim/example/profiles.data diff --git a/Models/mosaik_csv.py b/src/illuminator/models/LoadinNetSim/example/read_csv.py similarity index 100% rename from Models/mosaik_csv.py rename to src/illuminator/models/LoadinNetSim/example/read_csv.py diff --git a/Models/LoadinNetSim/example/testapi.py b/src/illuminator/models/LoadinNetSim/example/testapi.py similarity index 94% rename from Models/LoadinNetSim/example/testapi.py rename to src/illuminator/models/LoadinNetSim/example/testapi.py index 83d3d9c..c13fdbe 100644 --- a/Models/LoadinNetSim/example/testapi.py +++ b/src/illuminator/models/LoadinNetSim/example/testapi.py @@ -1,2 +1,2 @@ -from model_mosaikapi import LoadSim - +from model_mosaikapi import LoadSim + diff --git a/Models/LoadinNetSim/example/testmodel.py b/src/illuminator/models/LoadinNetSim/example/testmodel.py similarity index 96% rename from Models/LoadinNetSim/example/testmodel.py rename to src/illuminator/models/LoadinNetSim/example/testmodel.py index 486dc34..670f360 100644 --- a/Models/LoadinNetSim/example/testmodel.py +++ b/src/illuminator/models/LoadinNetSim/example/testmodel.py @@ -1,24 +1,24 @@ -# from loadmodel import LoadModel -# import pandas as pd -# import datetime -# datafile='demo_lv_grid.csv' -# pf_load = pd.read_csv(datafile) -# hm=LoadModel(pf_load,'node_1,load_1') -# timeset='2014-01-01 00:00:00' -# DATA_FORMAT=['YYYY-MM-DD HH:mm:ss'] -# timeset=pd.to_datetime(timeset) -# time = timeset + datetime.timedelta(minutes=15) -# ret = hm.get(time) -# print(time, ret) - -import model_mosaikapi -import pandas as pd -datafile='demo_lv_grid.csv' -pf_load = pd.read_csv(datafile) -START='2014-01-01 00:00:00' - - -name='node_1,load_1' -sim=model_mosaikapi.LoadSim() -sim.init('sid') -eneti=sim.create(sim_start=START, pf_data=pf_load,name=name, number=2) +# from loadmodel import LoadModel +# import pandas as pd +# import datetime +# datafile='demo_lv_grid.csv' +# pf_load = pd.read_csv(datafile) +# hm=LoadModel(pf_load,'node_1,load_1') +# timeset='2014-01-01 00:00:00' +# DATA_FORMAT=['YYYY-MM-DD HH:mm:ss'] +# timeset=pd.to_datetime(timeset) +# time = timeset + datetime.timedelta(minutes=15) +# ret = hm.get(time) +# print(time, ret) + +import model_mosaikapi +import pandas as pd +datafile='demo_lv_grid.csv' +pf_load = pd.read_csv(datafile) +START='2014-01-01 00:00:00' + + +name='node_1,load_1' +sim=model_mosaikapi.LoadSim() +sim.init('sid') +eneti=sim.create(sim_start=START, pf_data=pf_load,name=name, number=2) diff --git a/Models/LoadinNetSim/model.py b/src/illuminator/models/LoadinNetSim/model.py similarity index 96% rename from Models/LoadinNetSim/model.py rename to src/illuminator/models/LoadinNetSim/model.py index 8925442..abcbbbf 100644 --- a/Models/LoadinNetSim/model.py +++ b/src/illuminator/models/LoadinNetSim/model.py @@ -1,88 +1,88 @@ -import datetime - -import pandas as pd - -DATE_FORMAT = ['YYYY-MM-DD HH:mm', 'YYYY-MM-DD HH:mm:ss'] -"""Date format used to convert strings to dates.""" - -class LoadModel: - def __init__(self,meta,profile): - #data={'start':'2015-02-01 00:00:00','resolution':15*60,'unit':'W'} - #profile=dataframe of load profile - self.start=meta['start'] - self.resolution=meta['resolution']#resolution unit:min - self.unit=meta['unit'] - #obtain id lists - self.load_ids= profile.iloc[0].index[1:].to_list() - #load_ids=['Load R1','Load R2'] - - self.loads=[ - { - #'load_num': i+1, - 'load_id':n, - }for i,n in enumerate(self.load_ids) - ] - self.data=profile - self.data['Time']=pd.to_datetime(self.data['Time'])#change time to 'timestamp' - #variables for get() - self._data=None#the data at minutes(dataFrame) - self._last_date=None#last time instance - self._cache=None#load power at cache - - def get(self,minutes): - """ - get the current load power for all loads at minutes since attr:'start'. - - If the model uses a 15min resolution and minutes not multiple of 15, - the next smaller multiple of 15 will be used. For example, if you - pass ``minutes=23``, you'll get the value for ``15``. - """ - - # Trim "minutes" to multiples of "self.resolution" - # Example: res=15, minutes=40 -> minutes == 30 - minutes = minutes // self.resolution * self.resolution - target_data=pd.to_datetime(self.start)+datetime.timedelta(minutes=minutes) - last_data=self.data['Time'].iloc[-1] - if target_data>last_data: - raise IndexError('Target date "%s" (%s minutes from start) ' - 'out of range.' % (target_data, minutes)) - else: - self._last_date=target_data - self._data=self.data[self.data['Time']==target_data] - just_cache=self._data.drop(['Time'],axis=1) - self._cache=just_cache.iloc[0] - - #return series nload_1: 1.0, load_2: 1.0 - return self._cache - - - def get_delta(self,date): - """Get the amount of minutes between *date* and :attr:`start`. - - The date needs to be a strings formated like :data:`DATE_FORMAT`. - - Raise a :exc:`ValueError` if *date* is smaller than :attr:`start`. - - """ - start_timestep=pd.to_datetime(self.start) - getdate_timestep=pd.to_datetime(date) - if getdate_timestep= "%s".' % - self.start.format(DATE_FORMAT)) - - dt=getdate_timestep-start_timestep - minutes = (dt.days * 1440) + (dt.seconds // 60) - return minutes - - - - - - - - - - - - - +import datetime + +import pandas as pd + +DATE_FORMAT = ['YYYY-MM-DD HH:mm', 'YYYY-MM-DD HH:mm:ss'] +"""Date format used to convert strings to dates.""" + +class LoadModel: + def __init__(self,meta,profile): + #data={'start':'2015-02-01 00:00:00','resolution':15*60,'unit':'W'} + #profile=dataframe of load profile + self.start=meta['start'] + self.resolution=meta['resolution']#resolution unit:min + self.unit=meta['unit'] + #obtain id lists + self.load_ids= profile.iloc[0].index[1:].to_list() + #load_ids=['Load R1','Load R2'] + + self.loads=[ + { + #'load_num': i+1, + 'load_id':n, + }for i,n in enumerate(self.load_ids) + ] + self.data=profile + self.data['Time']=pd.to_datetime(self.data['Time'])#change time to 'timestamp' + #variables for get() + self._data=None#the data at minutes(dataFrame) + self._last_date=None#last time instance + self._cache=None#load power at cache + + def get(self,minutes): + """ + get the current load power for all loads at minutes since attr:'start'. + + If the model uses a 15min resolution and minutes not multiple of 15, + the next smaller multiple of 15 will be used. For example, if you + pass ``minutes=23``, you'll get the value for ``15``. + """ + + # Trim "minutes" to multiples of "self.resolution" + # Example: res=15, minutes=40 -> minutes == 30 + minutes = minutes // self.resolution * self.resolution + target_data=pd.to_datetime(self.start)+datetime.timedelta(minutes=minutes) + last_data=self.data['Time'].iloc[-1] + if target_data>last_data: + raise IndexError('Target date "%s" (%s minutes from start) ' + 'out of range.' % (target_data, minutes)) + else: + self._last_date=target_data + self._data=self.data[self.data['Time']==target_data] + just_cache=self._data.drop(['Time'],axis=1) + self._cache=just_cache.iloc[0] + + #return series nload_1: 1.0, load_2: 1.0 + return self._cache + + + def get_delta(self,date): + """Get the amount of minutes between *date* and :attr:`start`. + + The date needs to be a strings formated like :data:`DATE_FORMAT`. + + Raise a :exc:`ValueError` if *date* is smaller than :attr:`start`. + + """ + start_timestep=pd.to_datetime(self.start) + getdate_timestep=pd.to_datetime(date) + if getdate_timestep= "%s".' % + self.start.format(DATE_FORMAT)) + + dt=getdate_timestep-start_timestep + minutes = (dt.days * 1440) + (dt.seconds // 60) + return minutes + + + + + + + + + + + + + diff --git a/Models/LoadinNetSim/mosaik-model.py b/src/illuminator/models/LoadinNetSim/mosaik-model.py similarity index 96% rename from Models/LoadinNetSim/mosaik-model.py rename to src/illuminator/models/LoadinNetSim/mosaik-model.py index aa64690..8dad581 100644 --- a/Models/LoadinNetSim/mosaik-model.py +++ b/src/illuminator/models/LoadinNetSim/mosaik-model.py @@ -1,132 +1,132 @@ -import mosaik_api -import pandas as pd - -try: - import Models.LoadinNetSim.model as Loadmodelset -except ModuleNotFoundError: - import LoadinNetSim.model as Loadmodelset -else: - import Models.LoadinNetSim.model as Loadmodelset - -meta={ - 'type':'time-based', - 'models':{ - 'Loadset':{ - 'public':True, - 'params':[ - 'sim_start', #time start(str) - 'data_info',#data_info = {'start': '2015-02-01 00:00:00', 'resolution': 15 , 'unit': 'W'} - 'profile_file', #profile name - ], - 'attrs':[], - }, - 'Load':{ - 'public':False, - 'params':[], - 'attrs':[ - 'P_out', - 'load_num', - 'node_id', - - ], - }, - }, -} - -def eid(lid): - return 'Load_create_%s' %lid - - -class LoadholdSim(mosaik_api.Simulator): - def __init__(self): - super().__init__(meta) - - self.time_resolution=None - self.model=None - self.loads_by_eid={} - self._file_cache={} - self._offset=0 - self._cache={} - - - def init(self,sid,time_resolution): - self.time_resolution=float(time_resolution) - return self.meta - - def create(self, num, model, sim_start,data_info,profile_file): - if num != 1 or self.model: - raise ValueError('Can only create one set of loads.') - if profile_file.endswith('csv'): - pf=pd.read_csv(profile_file) - else: - pf=pd.read_excel(profile_file) - - self.model=Loadmodelset.LoadModel(data_info,pf) - self.loads_by_eid={ - eid(i):load for i, load in enumerate(self.model.loads) - } - # A time offset in minutes from the simulation start to the start - # of the profiles. - self._offset = self.model.get_delta(sim_start) - return[{ - 'eid':'Loadset_0', - 'type':'Loadset', - 'rel':[], - 'children': - [{'eid': eid(i), - 'type':'Load', - 'rel':[],}for i,_ in enumerate(self.model.loads)], - }] - - def step(self,time,inputs,max_advance): - # "time" has self.time_resolution (seconds per integer step). - # Convert to minutes and add the offset if sim start > start date of - # the profiles. - minutes=int(time*self.time_resolution // 60) - minutes_offset=minutes+self._offset - cache={} - data=self.model.get(minutes_offset) - #print(data) - for hid, d in enumerate(data): - cache[eid(hid)]=d - self._cache=cache - return int((minutes + self.model.resolution) * 60 - / self.time_resolution) - - def get_data(self, outputs): - data = {} - for eid, attrs in outputs.items(): - data[eid] = {} - for attr in attrs: - if attr == 'P_out': - val = self._cache[eid] - else: - val = self.loads_by_eid[eid][attr] - data[eid][attr] = val - return data - -def main(): - return mosaik_api.start_simulation(LoadholdSim(),'Loadholdset simulation') - - - - - - - - - - - - - - - - - - - - - - - +import mosaik_api +import pandas as pd + +try: + import Models.LoadinNetSim.model as Loadmodelset +except ModuleNotFoundError: + import LoadinNetSim.model as Loadmodelset +else: + import Models.LoadinNetSim.model as Loadmodelset + +meta={ + 'type':'time-based', + 'models':{ + 'Loadset':{ + 'public':True, + 'params':[ + 'sim_start', #time start(str) + 'data_info',#data_info = {'start': '2015-02-01 00:00:00', 'resolution': 15 , 'unit': 'W'} + 'profile_file', #profile name + ], + 'attrs':[], + }, + 'Load':{ + 'public':False, + 'params':[], + 'attrs':[ + 'P_out', + 'load_num', + 'node_id', + + ], + }, + }, +} + +def eid(lid): + return 'Load_create_%s' %lid + + +class LoadholdSim(mosaik_api.Simulator): + def __init__(self): + super().__init__(meta) + + self.time_resolution=None + self.model=None + self.loads_by_eid={} + self._file_cache={} + self._offset=0 + self._cache={} + + + def init(self,sid,time_resolution): + self.time_resolution=float(time_resolution) + return self.meta + + def create(self, num, model, sim_start,data_info,profile_file): + if num != 1 or self.model: + raise ValueError('Can only create one set of loads.') + if profile_file.endswith('csv'): + pf=pd.read_csv(profile_file) + else: + pf=pd.read_excel(profile_file) + + self.model=Loadmodelset.LoadModel(data_info,pf) + self.loads_by_eid={ + eid(i):load for i, load in enumerate(self.model.loads) + } + # A time offset in minutes from the simulation start to the start + # of the profiles. + self._offset = self.model.get_delta(sim_start) + return[{ + 'eid':'Loadset_0', + 'type':'Loadset', + 'rel':[], + 'children': + [{'eid': eid(i), + 'type':'Load', + 'rel':[],}for i,_ in enumerate(self.model.loads)], + }] + + def step(self,time,inputs,max_advance): + # "time" has self.time_resolution (seconds per integer step). + # Convert to minutes and add the offset if sim start > start date of + # the profiles. + minutes=int(time*self.time_resolution // 60) + minutes_offset=minutes+self._offset + cache={} + data=self.model.get(minutes_offset) + #print(data) + for hid, d in enumerate(data): + cache[eid(hid)]=d + self._cache=cache + return int((minutes + self.model.resolution) * 60 + / self.time_resolution) + + def get_data(self, outputs): + data = {} + for eid, attrs in outputs.items(): + data[eid] = {} + for attr in attrs: + if attr == 'P_out': + val = self._cache[eid] + else: + val = self.loads_by_eid[eid][attr] + data[eid][attr] = val + return data + +def main(): + return mosaik_api.start_simulation(LoadholdSim(),'Loadholdset simulation') + + + + + + + + + + + + + + + + + + + + + + + diff --git a/Models/LoadinNetSim/profiles.data b/src/illuminator/models/LoadinNetSim/profiles.data similarity index 100% rename from Models/LoadinNetSim/profiles.data rename to src/illuminator/models/LoadinNetSim/profiles.data diff --git a/Models/LoadinNetSim/results1month_update.csv b/src/illuminator/models/LoadinNetSim/results1month_update.csv similarity index 99% rename from Models/LoadinNetSim/results1month_update.csv rename to src/illuminator/models/LoadinNetSim/results1month_update.csv index 96cc6a1..c3bb759 100644 --- a/Models/LoadinNetSim/results1month_update.csv +++ b/src/illuminator/models/LoadinNetSim/results1month_update.csv @@ -1,3093 +1,3093 @@ -Time,Load R1,Load R2,Load R3,Load R4,Load R5,Load R6,Load R7,Load R8,Load R9,Load R10,Load R11,Load R12,Load R13,Load R14,Load R15,Load R16,Load R17,Load R18 -01/01/2022 00:00,0.006280953,0.005105546,0.006895527,0.006172774,0.006554695,0.006449263,0.005555838,0.006954249,0.006154501,0.0060522,0.006665492,0.006219869,0.006272713,0.005819803,0.006749647,0.006814503,0.006342549,0.006122805 -01/01/2022 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+01/02/2022 21:15,,,,,,,,,,,,,,,,,, +01/02/2022 21:30,,,,,,,,,,,,,,,,,, +01/02/2022 21:45,,,,,,,,,,,,,,,,,, +01/02/2022 22:00,,,,,,,,,,,,,,,,,, +01/02/2022 22:15,,,,,,,,,,,,,,,,,, +01/02/2022 22:30,,,,,,,,,,,,,,,,,, +01/02/2022 22:45,,,,,,,,,,,,,,,,,, +01/02/2022 23:00,,,,,,,,,,,,,,,,,, +01/02/2022 23:15,,,,,,,,,,,,,,,,,, +01/02/2022 23:30,,,,,,,,,,,,,,,,,, +01/02/2022 23:45,,,,,,,,,,,,,,,,,, diff --git a/Models/PV/pv_model.py b/src/illuminator/models/PV/pv_model.py similarity index 97% rename from Models/PV/pv_model.py rename to src/illuminator/models/PV/pv_model.py index 9f0e299..b110483 100644 --- a/Models/PV/pv_model.py +++ b/src/illuminator/models/PV/pv_model.py @@ -1,107 +1,107 @@ -import numpy as np -from numpy import sin, cos - -class PV_py_model: - - def __init__(self, panel_data, m_tilt, m_az, cap, output_type='power', resolution=15): - self.m_area = panel_data['Module_area'] - # module area. available in the spec sheet of a pv module - self.NOCT = panel_data['NOCT'] #degree celsius - self.m_efficiency_stc = panel_data['Module_Efficiency'] - self.G_NOCT = panel_data['Irradiance_at_NOCT'] - # W/m2 This is the irradiance that falls on the panel under NOCT conditions - self.P_STC = panel_data['Power_output_at_STC'] - # Watts. Available in spec sheet of a module - self.peak_power=panel_data['peak_power'] - self.m_tilt = m_tilt - self.m_az = m_az - self.cap = cap - self.output_type = output_type - self.resolution = resolution - self.time_interval = self.resolution / 60 - - def sun_azimuth(self): # need to load sun_az - sun_azimuth = self.sun_az - return sun_azimuth - - def sun_elevation(self): - sun_elevation = self.sun_el - return sun_elevation - - def aoi(self): - cos_aoi = np.array(cos(np.radians(90 - self.m_tilt)) * cos(np.radians(self.sun_elevation())) * cos( - np.radians(self.m_az - self.sun_azimuth())) + sin(np.radians(90 - self.m_tilt)) * sin( - self.sun_elevation())) - if cos_aoi < 0: - cos_aoi = 0 - return cos_aoi - - def diffused_irr(self): - self.svf = np.array((1 + cos(np.radians(self.m_tilt))) / 2) - g_diff = self.svf * self.dhi # global diffused irradiance #W/m2 - return g_diff - - def reflected_irr(self): - albedo = 0.2 - g_ref = albedo * (1 - self.svf) * self.ghi - return g_ref - - def direct_irr(self): - g_dir = self.dni * self.aoi() - return g_dir - - def total_irr(self): - self.g_aoi = self.diffused_irr() + self.reflected_irr() + self.direct_irr() - return self.g_aoi - - - # the effect of temperature and wind speed on the module efficiency. - def Temp_effect(self): - m_temp = self.temp + (np.divide(self.total_irr(), self.G_NOCT)) * (self.NOCT - 20) * ( - np.divide(9.5, (5.7 + 3.8 * self.ws))) * (1 - (self.m_efficiency_stc / 0.90)) - - efficiency = self.m_efficiency_stc * (1 + (-0.0035 * (m_temp - 25))) - return efficiency - - def output(self): - - # constants - # inverter efficiency. We can use sandia model to actually find an inverter that suits our needs - inv_eff = 0.96 - mppt_eff = 0.99 # again, can calculate it accurately - losses = 0.97 # other losses - sf = 1.1 - - # generation calculation - num_of_modules = np.ceil(self.cap * sf / self.P_STC) - - - # [W] again we get this for every time step - # this is for the DC output from the number of panes we require (calculated above) at every hour - #p_dc = self.Temp_effect() * num_of_modules * self.m_area * self.total_irr() - total_m_area = num_of_modules * self.m_area - - # AC output at every hour from all the panels (a solar farm) - - if self.output_type == 'energy': - p_ac = (total_m_area * self.total_irr() * - self.Temp_effect() * inv_eff * mppt_eff * losses)/4 # kWh - elif self.output_type == 'power': - p_ac = ((total_m_area * self.total_irr() * - self.Temp_effect() * inv_eff * mppt_eff * losses) ) # kW - - return {'pv_gen': p_ac, 'total_irr': self.g_aoi} - - def connect(self, G_Gh, G_Dh, G_Bn, Ta, hs, FF, Az): - self.ghi = G_Gh - self.dhi = G_Dh - self.dni = G_Bn - self.temp = Ta - self.sun_el = hs - self.ws = FF - self.sun_az = Az - # print( self.sun_az, self.ws, self.dni) - # print('1') - # print(sun_az, ws, dni, dhi, ghi, sun_el, ambient_temp) - return self.output() - +import numpy as np +from numpy import sin, cos + +class PV_py_model: + + def __init__(self, panel_data, m_tilt, m_az, cap, output_type='power', resolution=15): + self.m_area = panel_data['Module_area'] + # module area. available in the spec sheet of a pv module + self.NOCT = panel_data['NOCT'] #degree celsius + self.m_efficiency_stc = panel_data['Module_Efficiency'] + self.G_NOCT = panel_data['Irradiance_at_NOCT'] + # W/m2 This is the irradiance that falls on the panel under NOCT conditions + self.P_STC = panel_data['Power_output_at_STC'] + # Watts. Available in spec sheet of a module + self.peak_power=panel_data['peak_power'] + self.m_tilt = m_tilt + self.m_az = m_az + self.cap = cap + self.output_type = output_type + self.resolution = resolution + self.time_interval = self.resolution / 60 + + def sun_azimuth(self): # need to load sun_az + sun_azimuth = self.sun_az + return sun_azimuth + + def sun_elevation(self): + sun_elevation = self.sun_el + return sun_elevation + + def aoi(self): + cos_aoi = np.array(cos(np.radians(90 - self.m_tilt)) * cos(np.radians(self.sun_elevation())) * cos( + np.radians(self.m_az - self.sun_azimuth())) + sin(np.radians(90 - self.m_tilt)) * sin( + self.sun_elevation())) + if cos_aoi < 0: + cos_aoi = 0 + return cos_aoi + + def diffused_irr(self): + self.svf = np.array((1 + cos(np.radians(self.m_tilt))) / 2) + g_diff = self.svf * self.dhi # global diffused irradiance #W/m2 + return g_diff + + def reflected_irr(self): + albedo = 0.2 + g_ref = albedo * (1 - self.svf) * self.ghi + return g_ref + + def direct_irr(self): + g_dir = self.dni * self.aoi() + return g_dir + + def total_irr(self): + self.g_aoi = self.diffused_irr() + self.reflected_irr() + self.direct_irr() + return self.g_aoi + + + # the effect of temperature and wind speed on the module efficiency. + def Temp_effect(self): + m_temp = self.temp + (np.divide(self.total_irr(), self.G_NOCT)) * (self.NOCT - 20) * ( + np.divide(9.5, (5.7 + 3.8 * self.ws))) * (1 - (self.m_efficiency_stc / 0.90)) + + efficiency = self.m_efficiency_stc * (1 + (-0.0035 * (m_temp - 25))) + return efficiency + + def output(self): + + # constants + # inverter efficiency. We can use sandia model to actually find an inverter that suits our needs + inv_eff = 0.96 + mppt_eff = 0.99 # again, can calculate it accurately + losses = 0.97 # other losses + sf = 1.1 + + # generation calculation + num_of_modules = np.ceil(self.cap * sf / self.P_STC) + + + # [W] again we get this for every time step + # this is for the DC output from the number of panes we require (calculated above) at every hour + #p_dc = self.Temp_effect() * num_of_modules * self.m_area * self.total_irr() + total_m_area = num_of_modules * self.m_area + + # AC output at every hour from all the panels (a solar farm) + + if self.output_type == 'energy': + p_ac = (total_m_area * self.total_irr() * + self.Temp_effect() * inv_eff * mppt_eff * losses)/4 # kWh + elif self.output_type == 'power': + p_ac = ((total_m_area * self.total_irr() * + self.Temp_effect() * inv_eff * mppt_eff * losses) ) # kW + + return {'pv_gen': p_ac, 'total_irr': self.g_aoi} + + def connect(self, G_Gh, G_Dh, G_Bn, Ta, hs, FF, Az): + self.ghi = G_Gh + self.dhi = G_Dh + self.dni = G_Bn + self.temp = Ta + self.sun_el = hs + self.ws = FF + self.sun_az = Az + # print( self.sun_az, self.ws, self.dni) + # print('1') + # print(sun_az, ws, dni, dhi, ghi, sun_el, ambient_temp) + return self.output() + diff --git a/Models/PV/pv_model_new.py b/src/illuminator/models/PV/pv_model_new.py similarity index 97% rename from Models/PV/pv_model_new.py rename to src/illuminator/models/PV/pv_model_new.py index 8137420..4aa6820 100644 --- a/Models/PV/pv_model_new.py +++ b/src/illuminator/models/PV/pv_model_new.py @@ -1,114 +1,114 @@ -import numpy as np -from numpy import sin, cos - -class PV_py_model: - - def __init__(self, panel_data, m_tilt, m_az, cap, output_type): - # with open ('L1234.csv') as data: - # self.start_date=data.readline(1) - # self.start_date = (genfromtxt('L1234.csv', delimiter=',', usecols=0, max_rows=1, skip_header=1)) - # self.temp = None - # self.dhi = None - # self.ghi = None - # self.dni = None - # self.ws = None - # self.sun_el = None - # self.sun_az = None - self.m_area = panel_data['Module_area'] - # module area. available in the spec sheet of a pv module - self.NOCT = panel_data['NOCT'] #degree celsius - self.m_efficiency_stc = panel_data['Module_Efficiency'] - self.G_NOCT = panel_data['Irradiance_at_NOCT'] - # W/m2 This is the irradiance that falls on the panel under NOCT conditions - self.P_STC = panel_data['Power_output_at_STC'] - # Watts. Available in spec sheet of a module - self.m_tilt = m_tilt - self.m_az = m_az - self.cap = cap - self.output_type = output_type - - def sun_azimuth(self): # need to load sun_az - sun_azimuth = self.sun_az - return sun_azimuth - - def sun_elevation(self): - sun_elevation = self.sun_el - return sun_elevation - - def aoi(self): - cos_aoi = np.array(cos(np.radians(90 - self.m_tilt)) * cos(np.radians(self.sun_elevation())) * cos( - np.radians(self.m_az - self.sun_azimuth())) + sin(np.radians(90 - self.m_tilt)) * sin( - self.sun_elevation())) - if cos_aoi < 0: - cos_aoi = 0 - return cos_aoi - - def diffused_irr(self): - self.svf = np.array((1 + cos(np.radians(self.m_tilt))) / 2) - g_diff = self.svf * self.dhi # global diffused irradiance #W/m2 - return g_diff - - def reflected_irr(self): - albedo = 0.2 - g_ref = albedo * (1 - self.svf) * self.ghi - return g_ref - - def direct_irr(self): - g_dir = self.dni * self.aoi() - return g_dir - - def total_irr(self): - self.g_aoi = self.diffused_irr() + self.reflected_irr() + self.direct_irr() - return self.g_aoi - - - # the effect of temperature and wind speed on the module efficiency. - def Temp_effect(self): - m_temp = self.temp + (np.divide(self.total_irr(), self.G_NOCT)) * (self.NOCT - 20) * ( - np.divide(9.5, (5.7 + 3.8 * self.ws))) * (1 - (self.m_efficiency_stc / 0.90)) - - efficiency = self.m_efficiency_stc * (1 + (-0.0035 * (m_temp - 25))) - return efficiency - - def output(self): - - # constants - # inverter efficiency. We can use sandia model to actually find an inverter that suits our needs - inv_eff = 0.96 - mppt_eff = 0.99 # again, can calculate it accurately - losses = 0.97 # other losses - sf = 1.1 - - # generation calculation - num_of_modules = np.ceil(self.cap * sf / self.P_STC) - - - # [W] again we get this for every time step - # this is for the DC output from the number of panes we require (calculated above) at every hour - p_dc = self.Temp_effect() * num_of_modules * self.m_area * self.total_irr() - total_m_area = num_of_modules * self.m_area - - # AC output at every hour from all the panels (a solar farm) - - if self.output_type == 'energy': - p_ac = (total_m_area * self.total_irr() * - self.Temp_effect() * inv_eff * mppt_eff * losses)/4 # kWh - elif self.output_type == 'power': - p_ac = ((total_m_area * self.total_irr() * - self.Temp_effect() * inv_eff * mppt_eff * losses) ) # kW - - return {'pv_gen': p_ac, 'total_irr': self.g_aoi} - - def connect(self, G_Gh, G_Dh, G_Bn, Ta, hs, FF, Az): - self.ghi = G_Gh - self.dhi = G_Dh - self.dni = G_Bn - self.temp = Ta - self.sun_el = hs - self.ws = FF - self.sun_az = Az - # print( self.sun_az, self.ws, self.dni) - # print('1') - # print(sun_az, ws, dni, dhi, ghi, sun_el, ambient_temp) - return self.output() - +import numpy as np +from numpy import sin, cos + +class PV_py_model: + + def __init__(self, panel_data, m_tilt, m_az, cap, output_type): + # with open ('L1234.csv') as data: + # self.start_date=data.readline(1) + # self.start_date = (genfromtxt('L1234.csv', delimiter=',', usecols=0, max_rows=1, skip_header=1)) + # self.temp = None + # self.dhi = None + # self.ghi = None + # self.dni = None + # self.ws = None + # self.sun_el = None + # self.sun_az = None + self.m_area = panel_data['Module_area'] + # module area. available in the spec sheet of a pv module + self.NOCT = panel_data['NOCT'] #degree celsius + self.m_efficiency_stc = panel_data['Module_Efficiency'] + self.G_NOCT = panel_data['Irradiance_at_NOCT'] + # W/m2 This is the irradiance that falls on the panel under NOCT conditions + self.P_STC = panel_data['Power_output_at_STC'] + # Watts. Available in spec sheet of a module + self.m_tilt = m_tilt + self.m_az = m_az + self.cap = cap + self.output_type = output_type + + def sun_azimuth(self): # need to load sun_az + sun_azimuth = self.sun_az + return sun_azimuth + + def sun_elevation(self): + sun_elevation = self.sun_el + return sun_elevation + + def aoi(self): + cos_aoi = np.array(cos(np.radians(90 - self.m_tilt)) * cos(np.radians(self.sun_elevation())) * cos( + np.radians(self.m_az - self.sun_azimuth())) + sin(np.radians(90 - self.m_tilt)) * sin( + self.sun_elevation())) + if cos_aoi < 0: + cos_aoi = 0 + return cos_aoi + + def diffused_irr(self): + self.svf = np.array((1 + cos(np.radians(self.m_tilt))) / 2) + g_diff = self.svf * self.dhi # global diffused irradiance #W/m2 + return g_diff + + def reflected_irr(self): + albedo = 0.2 + g_ref = albedo * (1 - self.svf) * self.ghi + return g_ref + + def direct_irr(self): + g_dir = self.dni * self.aoi() + return g_dir + + def total_irr(self): + self.g_aoi = self.diffused_irr() + self.reflected_irr() + self.direct_irr() + return self.g_aoi + + + # the effect of temperature and wind speed on the module efficiency. + def Temp_effect(self): + m_temp = self.temp + (np.divide(self.total_irr(), self.G_NOCT)) * (self.NOCT - 20) * ( + np.divide(9.5, (5.7 + 3.8 * self.ws))) * (1 - (self.m_efficiency_stc / 0.90)) + + efficiency = self.m_efficiency_stc * (1 + (-0.0035 * (m_temp - 25))) + return efficiency + + def output(self): + + # constants + # inverter efficiency. We can use sandia model to actually find an inverter that suits our needs + inv_eff = 0.96 + mppt_eff = 0.99 # again, can calculate it accurately + losses = 0.97 # other losses + sf = 1.1 + + # generation calculation + num_of_modules = np.ceil(self.cap * sf / self.P_STC) + + + # [W] again we get this for every time step + # this is for the DC output from the number of panes we require (calculated above) at every hour + p_dc = self.Temp_effect() * num_of_modules * self.m_area * self.total_irr() + total_m_area = num_of_modules * self.m_area + + # AC output at every hour from all the panels (a solar farm) + + if self.output_type == 'energy': + p_ac = (total_m_area * self.total_irr() * + self.Temp_effect() * inv_eff * mppt_eff * losses)/4 # kWh + elif self.output_type == 'power': + p_ac = ((total_m_area * self.total_irr() * + self.Temp_effect() * inv_eff * mppt_eff * losses) ) # kW + + return {'pv_gen': p_ac, 'total_irr': self.g_aoi} + + def connect(self, G_Gh, G_Dh, G_Bn, Ta, hs, FF, Az): + self.ghi = G_Gh + self.dhi = G_Dh + self.dni = G_Bn + self.temp = Ta + self.sun_el = hs + self.ws = FF + self.sun_az = Az + # print( self.sun_az, self.ws, self.dni) + # print('1') + # print(sun_az, ws, dni, dhi, ghi, sun_el, ambient_temp) + return self.output() + diff --git a/Models/PV/pv_mosaik.py b/src/illuminator/models/PV/pv_mosaik.py similarity index 97% rename from Models/PV/pv_mosaik.py rename to src/illuminator/models/PV/pv_mosaik.py index b80ad8b..fb2905c 100644 --- a/Models/PV/pv_mosaik.py +++ b/src/illuminator/models/PV/pv_mosaik.py @@ -1,114 +1,114 @@ - -import itertools -import mosaik_api -#import PV.PV_model as PV_model -try: - import Models.PV.pv_model as PV_model -except ModuleNotFoundError: - import pv_model as PV_model -else: - import Models.PV.pv_model as PV_model -import pandas as pd -import itertools - -meta = { - 'type': 'event-based', #if reading from a csv file then it is time based - 'models': { - 'PVset': { - 'public': True, - 'params': ['panel_data', - 'm_tilt','m_az', 'cap', 'sim_start', 'output_type'], - # and are attrs the specific outputs we want from the code? to connect with other models - 'attrs': ['pv_id', 'G_Gh', 'G_Dh', 'G_Bn', 'Ta', 'hs', 'FF', 'Az', 'pv_gen', 'total_irr'], - }, - }, -} - -class PvAdapter(mosaik_api.Simulator): - def __init__(self): - super(PvAdapter, self).__init__(meta) - self.eid_prefix='pv_' - self.entities = {} # every entity that we create of PV gets stored in this dictionary as a list - self.mods = {} - self._cache = {} #we store the final outputs after calling the python model (#PV1) here. - - def init(self, sid, time_resolution): - # print('hi, you have entered init') # working (20220524) - self.time_resolution = time_resolution - # print('Exited init os SimAPI') # working (20220524) - return self.meta - - def create(self, num, model, sim_start, **model_params): - # print('hi, you have entered create of SimAPI') # working (20220524) - self.start = pd.to_datetime(sim_start) - entities = [] - for i in range (num): - eid = '%s%d' % (self.eid_prefix, i) - - # we are creating an instance for PV and call the python file for that. **model_params refers to the - # parameters we have mentioned above in the META. New instance will have those parameters. - model_instance = PV_model.PV_py_model(**model_params) - self.entities[eid] = model_instance - entities.append({'eid': eid, 'type': model}) - # print(entities) - return entities - - def step(self, time, inputs, max_advance): - # in this method, we call the python file at every data interval and perform the calculations. - current_time = (self.start + pd.Timedelta(time * self.time_resolution, - unit='seconds')) # timedelta represents a duration of time - print('from pv %%%%%%%%%', current_time) - # print('#inouts: ', inputs) - for eid, attrs in inputs.items(): - # print('#eid: ', eid) - # print('#attrs: ', attrs) - # and relate it with the information in mosaik document. - v = [] # we create this empty list to hold all the input values we want to give since we have more than 2 - for attr, vals in attrs.items(): - - # print('#attr: ', attr) - # print('#vals: ', vals) - # inputs is a dictionary, which contains another dictionary. - # value of U is a list. we need to combine all the values into a single list. But is we just simply - # append them in v, we have a nested list, hence just 1 list. that creates a problem as it just - # gives all 7 values to only sun_az in the python model and we get an error that other 6 values are missing. - u = list(vals.values()) - # print('#u: ', u) - v.append(u) # we append every value of u to v from this command. - # print('#v: ', v) - - # the following code helps us to convert the nested list into a simple plain list and we can use that simply - v_merged = list(itertools.chain(*v)) - # print('#v_merged: ', v_merged) - self._cache[eid] = self.entities[eid].connect(v_merged[0], v_merged[1], v_merged[2], v_merged[3], - v_merged[4], v_merged[5], v_merged[6]) # PV1 - # print(self._cache) - # print('# cache[eid]: ', self._cache[eid]) - # the following code desnt work because it just put one value 7 times :/! Dumb move - # self._cache[eid] = self.entities[eid].connect(u, u, u, u, u, u, u) - return None - - def get_data(self, outputs): - data = {} - - # to write the data in an external file, we use this method. This API inturn calls a file within Mosaik - # which handles the writing of the outputs provided the attrs are present in the base python model file you made - - for eid, attrs in outputs.items(): - # model = self.entities[eid] - # data['time'] = self.time - data[eid] = {} - - for attr in attrs: - # if we want more values to print in the output file, mimic the below for new attributes and make sure - # those parameters are present in the re_params in the python file of the model - if attr == 'pv_gen': - data[eid][attr] = self._cache[eid]['pv_gen'] - elif attr == 'total_irr': - data[eid][attr] = self._cache[eid]['total_irr'] - return data - -def main(): - mosaik_api.start_simulation(PvAdapter(), 'PV-Illuminator') -if __name__ == '__main__': - main() + +import itertools +import mosaik_api +#import PV.PV_model as PV_model +try: + import Models.PV.pv_model as PV_model +except ModuleNotFoundError: + import pv_model as PV_model +else: + import Models.PV.pv_model as PV_model +import pandas as pd +import itertools + +meta = { + 'type': 'event-based', #if reading from a csv file then it is time based + 'models': { + 'PVset': { + 'public': True, + 'params': ['panel_data', + 'm_tilt','m_az', 'cap', 'sim_start', 'output_type'], + # and are attrs the specific outputs we want from the code? to connect with other models + 'attrs': ['pv_id', 'G_Gh', 'G_Dh', 'G_Bn', 'Ta', 'hs', 'FF', 'Az', 'pv_gen', 'total_irr'], + }, + }, +} + +class PvAdapter(mosaik_api.Simulator): + def __init__(self): + super(PvAdapter, self).__init__(meta) + self.eid_prefix='pv_' + self.entities = {} # every entity that we create of PV gets stored in this dictionary as a list + self.mods = {} + self._cache = {} #we store the final outputs after calling the python model (#PV1) here. + + def init(self, sid, time_resolution): + # print('hi, you have entered init') # working (20220524) + self.time_resolution = time_resolution + # print('Exited init os SimAPI') # working (20220524) + return self.meta + + def create(self, num, model, sim_start, **model_params): + # print('hi, you have entered create of SimAPI') # working (20220524) + self.start = pd.to_datetime(sim_start) + entities = [] + for i in range (num): + eid = '%s%d' % (self.eid_prefix, i) + + # we are creating an instance for PV and call the python file for that. **model_params refers to the + # parameters we have mentioned above in the META. New instance will have those parameters. + model_instance = PV_model.PV_py_model(**model_params) + self.entities[eid] = model_instance + entities.append({'eid': eid, 'type': model}) + # print(entities) + return entities + + def step(self, time, inputs, max_advance): + # in this method, we call the python file at every data interval and perform the calculations. + current_time = (self.start + pd.Timedelta(time * self.time_resolution, + unit='seconds')) # timedelta represents a duration of time + print('from pv %%%%%%%%%', current_time) + # print('#inouts: ', inputs) + for eid, attrs in inputs.items(): + # print('#eid: ', eid) + # print('#attrs: ', attrs) + # and relate it with the information in mosaik document. + v = [] # we create this empty list to hold all the input values we want to give since we have more than 2 + for attr, vals in attrs.items(): + + # print('#attr: ', attr) + # print('#vals: ', vals) + # inputs is a dictionary, which contains another dictionary. + # value of U is a list. we need to combine all the values into a single list. But is we just simply + # append them in v, we have a nested list, hence just 1 list. that creates a problem as it just + # gives all 7 values to only sun_az in the python model and we get an error that other 6 values are missing. + u = list(vals.values()) + # print('#u: ', u) + v.append(u) # we append every value of u to v from this command. + # print('#v: ', v) + + # the following code helps us to convert the nested list into a simple plain list and we can use that simply + v_merged = list(itertools.chain(*v)) + # print('#v_merged: ', v_merged) + self._cache[eid] = self.entities[eid].connect(v_merged[0], v_merged[1], v_merged[2], v_merged[3], + v_merged[4], v_merged[5], v_merged[6]) # PV1 + # print(self._cache) + # print('# cache[eid]: ', self._cache[eid]) + # the following code desnt work because it just put one value 7 times :/! Dumb move + # self._cache[eid] = self.entities[eid].connect(u, u, u, u, u, u, u) + return None + + def get_data(self, outputs): + data = {} + + # to write the data in an external file, we use this method. This API inturn calls a file within Mosaik + # which handles the writing of the outputs provided the attrs are present in the base python model file you made + + for eid, attrs in outputs.items(): + # model = self.entities[eid] + # data['time'] = self.time + data[eid] = {} + + for attr in attrs: + # if we want more values to print in the output file, mimic the below for new attributes and make sure + # those parameters are present in the re_params in the python file of the model + if attr == 'pv_gen': + data[eid][attr] = self._cache[eid]['pv_gen'] + elif attr == 'total_irr': + data[eid][attr] = self._cache[eid]['total_irr'] + return data + +def main(): + mosaik_api.start_simulation(PvAdapter(), 'PV-Illuminator') +if __name__ == '__main__': + main() diff --git a/Models/Valves/__init__.py b/src/illuminator/models/Valves/__init__.py similarity index 100% rename from Models/Valves/__init__.py rename to src/illuminator/models/Valves/__init__.py diff --git a/Models/Valves/h2valve_model.py b/src/illuminator/models/Valves/h2valve_model.py similarity index 100% rename from Models/Valves/h2valve_model.py rename to src/illuminator/models/Valves/h2valve_model.py diff --git a/Models/Valves/h2valve_mosaik.py b/src/illuminator/models/Valves/h2valve_mosaik.py similarity index 100% rename from Models/Valves/h2valve_mosaik.py rename to src/illuminator/models/Valves/h2valve_mosaik.py diff --git a/Models/Valves/qvalve_model.py b/src/illuminator/models/Valves/qvalve_model.py similarity index 100% rename from Models/Valves/qvalve_model.py rename to src/illuminator/models/Valves/qvalve_model.py diff --git a/Models/Valves/qvalve_mosaik.py b/src/illuminator/models/Valves/qvalve_mosaik.py similarity index 100% rename from Models/Valves/qvalve_mosaik.py rename to src/illuminator/models/Valves/qvalve_mosaik.py diff --git a/Models/Wind/Wind_model.py b/src/illuminator/models/Wind/Wind_model.py similarity index 97% rename from Models/Wind/Wind_model.py rename to src/illuminator/models/Wind/Wind_model.py index 61d7d3d..7636867 100644 --- a/Models/Wind/Wind_model.py +++ b/src/illuminator/models/Wind/Wind_model.py @@ -1,62 +1,62 @@ -import numpy as np -from numpy import genfromtxt -import math - - -# this model will be called by the step method in the wind_SimAPI file and there it will get input for calculations. -# remove the input of turbine height and just make changing the wind speed to a height of 80m by default. - -class wind_py_model: - - def __init__(self, p_rated, u_rated, u_cutin, u_cutout, diameter, cp, output_type='power',resolution=15): - self.p_rated = p_rated # kW power it generates at rated wind speed and above - self.u_rated = u_rated # m/s #windspeed it generates most power at - self.u_cutin = u_cutin # m/s #below this wind speed no power generation - self.u_cutout = u_cutout # m/s #above this wind speed no power generation. Blades are pitched - self.cp = cp # coefficient of performance of a turbine. Usually around0.40. Never more than 0.59 - self.powerout = 0 # output power at wind speed u - self.dia = diameter - self.output_type = output_type # 'power' or 'energy' - self.resolution = resolution - self.time_interval = self.resolution / 60 # hours (15 minutes time interval/ number of minites in an hour) - def production(self, u): - radius = self.dia/2 - air_density = 1.225 - self.resolution = 15 - self.time_interval = self.resolution/60 #hours (15 minutes time interval/ number of minites in an hour) - - u60 = u*((60/100)**0.14) - u25 = u60 * (np.log(20 / 0.2) / np.log(60 / 0.2)) - - if self.output_type == 'energy': - p = ((0.5 * (u25 ** 3) * (math.pi * (radius ** 2.0)) * air_density * self.cp)/1000) * self.time_interval # kWh - elif self.output_type == 'power': - p = ((0.5 * (u25 ** 3) * (math.pi * (radius ** 2.0)) * air_density * self.cp) / 1000) # kW - re_params = {'wind_gen': p, 'u': u25} - return re_params - - def generation(self, u): - - u60 = u * ((60 / 100) ** 0.14) - u25 = u60 * (np.log(20 / 0.2) / np.log(60 / 0.2)) - - if u25 >= self.u_rated: - if u25 == self.u_rated: - if self.output_type == 'power': - re_params = {'wind_gen': (self.p_rated), 'u': u25} - elif self.output_type == 'energy': - re_params = {'wind_gen': (self.p_rated * self.time_interval), 'u': u25} - elif u25 <= self.u_cutout: - if self.output_type == 'power': - re_params = {'wind_gen': (self.p_rated), 'u': u25} - elif self.output_type == 'energy': - re_params = {'wind_gen': (self.p_rated * self.time_interval), 'u': u25} - else: - re_params = {'wind_gen': 0, 'u': u25} - # return re_params - elif u25 < self.u_cutin: - re_params = {'wind_gen': 0, 'u': u25} - else: - re_params = self.production(u) - return re_params - +import numpy as np +from numpy import genfromtxt +import math + + +# this model will be called by the step method in the wind_SimAPI file and there it will get input for calculations. +# remove the input of turbine height and just make changing the wind speed to a height of 80m by default. + +class wind_py_model: + + def __init__(self, p_rated, u_rated, u_cutin, u_cutout, diameter, cp, output_type='power',resolution=15): + self.p_rated = p_rated # kW power it generates at rated wind speed and above + self.u_rated = u_rated # m/s #windspeed it generates most power at + self.u_cutin = u_cutin # m/s #below this wind speed no power generation + self.u_cutout = u_cutout # m/s #above this wind speed no power generation. Blades are pitched + self.cp = cp # coefficient of performance of a turbine. Usually around0.40. Never more than 0.59 + self.powerout = 0 # output power at wind speed u + self.dia = diameter + self.output_type = output_type # 'power' or 'energy' + self.resolution = resolution + self.time_interval = self.resolution / 60 # hours (15 minutes time interval/ number of minites in an hour) + def production(self, u): + radius = self.dia/2 + air_density = 1.225 + self.resolution = 15 + self.time_interval = self.resolution/60 #hours (15 minutes time interval/ number of minites in an hour) + + u60 = u*((60/100)**0.14) + u25 = u60 * (np.log(20 / 0.2) / np.log(60 / 0.2)) + + if self.output_type == 'energy': + p = ((0.5 * (u25 ** 3) * (math.pi * (radius ** 2.0)) * air_density * self.cp)/1000) * self.time_interval # kWh + elif self.output_type == 'power': + p = ((0.5 * (u25 ** 3) * (math.pi * (radius ** 2.0)) * air_density * self.cp) / 1000) # kW + re_params = {'wind_gen': p, 'u': u25} + return re_params + + def generation(self, u): + + u60 = u * ((60 / 100) ** 0.14) + u25 = u60 * (np.log(20 / 0.2) / np.log(60 / 0.2)) + + if u25 >= self.u_rated: + if u25 == self.u_rated: + if self.output_type == 'power': + re_params = {'wind_gen': (self.p_rated), 'u': u25} + elif self.output_type == 'energy': + re_params = {'wind_gen': (self.p_rated * self.time_interval), 'u': u25} + elif u25 <= self.u_cutout: + if self.output_type == 'power': + re_params = {'wind_gen': (self.p_rated), 'u': u25} + elif self.output_type == 'energy': + re_params = {'wind_gen': (self.p_rated * self.time_interval), 'u': u25} + else: + re_params = {'wind_gen': 0, 'u': u25} + # return re_params + elif u25 < self.u_cutin: + re_params = {'wind_gen': 0, 'u': u25} + else: + re_params = self.production(u) + return re_params + diff --git a/Models/Wind/wind_mosaik.py b/src/illuminator/models/Wind/wind_mosaik.py similarity index 97% rename from Models/Wind/wind_mosaik.py rename to src/illuminator/models/Wind/wind_mosaik.py index 4053ba2..9f58cc1 100644 --- a/Models/Wind/wind_mosaik.py +++ b/src/illuminator/models/Wind/wind_mosaik.py @@ -1,135 +1,135 @@ -from collections import namedtuple - -import mosaik_api -import numpy as np -import pandas as pd - -#import Wind.Wind_model as Wind_model - - -try: - import Models.Wind.Wind_model as Wind_model -except ModuleNotFoundError: - import Wind_model as Wind_model -else: - import Models.Wind.Wind_model as Wind_model - -META = { - 'type': 'event-based', - #wind is an event based event because the event here is a wind speed. It doesnt purely run because of time interval, I think. - # if I put it to time-based, there is type error: - # File "C:\Users\ragha\AppData\Local\Programs\Python\Python310\lib\site-packages\mosaik\scheduler.py", line 405, in step - # sim.progress_tmp = next_step - 1 - # TypeError: unsupported operand type(s) for -: 'NoneType' and 'int' - - 'models': { - 'windmodel': { - 'public': True, - 'params': ['p_rated', 'u_rated', 'u_cutin', 'u_cutout', 'cp', 'sim_start', 'output_type', 'diameter'], - 'attrs': ['wind_id', - 'wind_gen', # in the python file this existed in the re_params. - # re_params returns values from the python file, so we need to have it here so that mosaik - # can connect them and enter the values. - 'u'], - }, - }, -} - - -class WindSim(mosaik_api.Simulator): - def __init__(self): - super().__init__(META) - self.eid_prefix = 'wind_' # every entity that we create will start with 'wind_' - self.entities = {} # we store the model entity of our technology model - self._cache = {} # used in the step function to store the values after running the python model of the technology - # self.start_date = None - - # the following API call is will be called only once when we initiate the model in the scenario file. - # we can use this to pass additional initialization tasks - def init(self, sid, time_resolution): - # print('hi, you have entered init') # working (20220524) - self.time_resolution = time_resolution - # print('Exited init os SimAPI') # working (20220524) - return self.meta - - def create(self, num, model, sim_start, **model_params): - # print('hi, you have entered create of SimAPI') # working (20220524) - self.start = pd.to_datetime(sim_start) - # print(type(self.entities)) - # next_eid = len(self.entities) - # print('from create of SimAPI:', next_eid) - entities = [] - # print(next_eid) # working (20220524) - - for i in range (num): - eid = '%s%d' % (self.eid_prefix, i) - # print ('123checkkkkkkkkkkkkkkk', eid) - model_instance = Wind_model.wind_py_model(**model_params) - self.entities[eid] = model_instance - entities.append({'eid': eid, 'type': model}) - return entities - - def step(self, time, inputs, max_advance): - - current_time = (self.start + - pd.Timedelta(time * self.time_resolution, unit='seconds')) # timedelta represents a duration of time - print('from wind %%%%%%%%%%', current_time) - - for eid, attrs in inputs.items(): - # raghav: Inputs come from a CSV file which needs to be read by a Mosaik # CSV reader - - # and it gives the output in a manner we want. The output from the CSV file will be the Input here. - # they are connected in the scenario file. ##W1 (see W1 in comments in scenario file to understand) - # print(eid) - # print(attrs) - for attr, vals in attrs.items(): - if attr == 'u': - u = list(vals.values())[0] - # print(u) - self._cache[eid] = self.entities[eid].generation(u) #not necessary to have u in brackets. It is not - # necessary to keep the same name as the one in python file - - # in the above line, we have called our entity of wind model we created in create followed by a - # definition 'generation'. Since self.entities = model_instance and model instance calls out wind - # python model, so in this step we are called the function 'generation' and give it a value for u. - # This step makes the python file run and do the calculations for us of wind_gen. - # print(self._cache[eid]) - # [wind_gen:,soc:,flag:] - # self.soc[eid] = self._cache[eid]['soc'] - # self.battery_flag[eid]=self._cache[eid]['flag'] - # print(self._cache) - - return None - # # CURRENTLY THE INPUT IS THE WIND SPEED FILE BUT IT CAN BE CHANGED TO THE SUM OF pv AND wind AND THE grid load - # print (' entered STEP of SimAPI') - # self.time=time - # - # for eid, model_instance in self.entities.items(): - # for i in wind_data: - # model_instance.u = i - # print(model_instance[0]) - # print('Exited STEP of SimAPI') - # return time + 300 - - def get_data(self, outputs): - data={} - for eid, attrs in outputs.items(): - # model = self.entities[eid] - # data['time'] = self.time - data[eid]={} - for attr in attrs: - # if we want more values to print in the output file, mimic the below for new attributes and make sure - # those parameters are present in the re_params in the python file of the technology - if attr == 'wind_gen': - data[eid][attr] = self._cache[eid]['wind_gen'] - elif attr == 'u': - data[eid][attr] = self._cache[eid]['u'] - - return data - - - -def main(): - return mosaik_api.start_simulation(WindSim(), 'WindEnergy Simulator') - -if __name__ == "__main__": - main() +from collections import namedtuple + +import mosaik_api +import numpy as np +import pandas as pd + +#import Wind.Wind_model as Wind_model + + +try: + import Models.Wind.Wind_model as Wind_model +except ModuleNotFoundError: + import Wind_model as Wind_model +else: + import Models.Wind.Wind_model as Wind_model + +META = { + 'type': 'event-based', + #wind is an event based event because the event here is a wind speed. It doesnt purely run because of time interval, I think. + # if I put it to time-based, there is type error: + # File "C:\Users\ragha\AppData\Local\Programs\Python\Python310\lib\site-packages\mosaik\scheduler.py", line 405, in step + # sim.progress_tmp = next_step - 1 + # TypeError: unsupported operand type(s) for -: 'NoneType' and 'int' + + 'models': { + 'windmodel': { + 'public': True, + 'params': ['p_rated', 'u_rated', 'u_cutin', 'u_cutout', 'cp', 'sim_start', 'output_type', 'diameter'], + 'attrs': ['wind_id', + 'wind_gen', # in the python file this existed in the re_params. + # re_params returns values from the python file, so we need to have it here so that mosaik + # can connect them and enter the values. + 'u'], + }, + }, +} + + +class WindSim(mosaik_api.Simulator): + def __init__(self): + super().__init__(META) + self.eid_prefix = 'wind_' # every entity that we create will start with 'wind_' + self.entities = {} # we store the model entity of our technology model + self._cache = {} # used in the step function to store the values after running the python model of the technology + # self.start_date = None + + # the following API call is will be called only once when we initiate the model in the scenario file. + # we can use this to pass additional initialization tasks + def init(self, sid, time_resolution): + # print('hi, you have entered init') # working (20220524) + self.time_resolution = time_resolution + # print('Exited init os SimAPI') # working (20220524) + return self.meta + + def create(self, num, model, sim_start, **model_params): + # print('hi, you have entered create of SimAPI') # working (20220524) + self.start = pd.to_datetime(sim_start) + # print(type(self.entities)) + # next_eid = len(self.entities) + # print('from create of SimAPI:', next_eid) + entities = [] + # print(next_eid) # working (20220524) + + for i in range (num): + eid = '%s%d' % (self.eid_prefix, i) + # print ('123checkkkkkkkkkkkkkkk', eid) + model_instance = Wind_model.wind_py_model(**model_params) + self.entities[eid] = model_instance + entities.append({'eid': eid, 'type': model}) + return entities + + def step(self, time, inputs, max_advance): + + current_time = (self.start + + pd.Timedelta(time * self.time_resolution, unit='seconds')) # timedelta represents a duration of time + print('from wind %%%%%%%%%%', current_time) + + for eid, attrs in inputs.items(): + # raghav: Inputs come from a CSV file which needs to be read by a Mosaik # CSV reader - + # and it gives the output in a manner we want. The output from the CSV file will be the Input here. + # they are connected in the scenario file. ##W1 (see W1 in comments in scenario file to understand) + # print(eid) + # print(attrs) + for attr, vals in attrs.items(): + if attr == 'u': + u = list(vals.values())[0] + # print(u) + self._cache[eid] = self.entities[eid].generation(u) #not necessary to have u in brackets. It is not + # necessary to keep the same name as the one in python file + + # in the above line, we have called our entity of wind model we created in create followed by a + # definition 'generation'. Since self.entities = model_instance and model instance calls out wind + # python model, so in this step we are called the function 'generation' and give it a value for u. + # This step makes the python file run and do the calculations for us of wind_gen. + # print(self._cache[eid]) + # [wind_gen:,soc:,flag:] + # self.soc[eid] = self._cache[eid]['soc'] + # self.battery_flag[eid]=self._cache[eid]['flag'] + # print(self._cache) + + return None + # # CURRENTLY THE INPUT IS THE WIND SPEED FILE BUT IT CAN BE CHANGED TO THE SUM OF pv AND wind AND THE grid load + # print (' entered STEP of SimAPI') + # self.time=time + # + # for eid, model_instance in self.entities.items(): + # for i in wind_data: + # model_instance.u = i + # print(model_instance[0]) + # print('Exited STEP of SimAPI') + # return time + 300 + + def get_data(self, outputs): + data={} + for eid, attrs in outputs.items(): + # model = self.entities[eid] + # data['time'] = self.time + data[eid]={} + for attr in attrs: + # if we want more values to print in the output file, mimic the below for new attributes and make sure + # those parameters are present in the re_params in the python file of the technology + if attr == 'wind_gen': + data[eid][attr] = self._cache[eid]['wind_gen'] + elif attr == 'u': + data[eid][attr] = self._cache[eid]['u'] + + return data + + + +def main(): + return mosaik_api.start_simulation(WindSim(), 'WindEnergy Simulator') + +if __name__ == "__main__": + main() diff --git a/Models/__init__.py b/src/illuminator/models/__init__.py similarity index 100% rename from Models/__init__.py rename to src/illuminator/models/__init__.py diff --git a/Models/collector.py b/src/illuminator/models/collector.py similarity index 97% rename from Models/collector.py rename to src/illuminator/models/collector.py index cb0d237..1d1f84e 100644 --- a/Models/collector.py +++ b/src/illuminator/models/collector.py @@ -1,140 +1,140 @@ -import collections -import pandas as pd -import mosaik_api -import os -import sqlite3 -import paho.mqtt.client as mqtt -from urllib.parse import urlparse -META = { - 'type': 'hybrid', - 'models': { - 'Monitor': { - 'public': True, - 'any_inputs': True, - 'params': [], - 'attrs': [], - }, - }, -} -#import wandb -import sqlite3 - -class Collector(mosaik_api.Simulator): - def __init__(self): - super().__init__(META) - self.eid = None - self.data = collections.defaultdict(lambda: collections.defaultdict(dict)) - - def init(self, sid, time_resolution, start_date, results_show,output_file, - date_format='%Y-%m-%d %H:%M:%S', - db_file='Result/result.db', - mqtt_broker='mqtt://192.168.10.90:1883', mqtt_topic='TGVFCBB75', - print_results=False): - self.time_resolution = time_resolution - self.start_date = pd.to_datetime(start_date, format=date_format) - self.output_file = output_file - self.print_results = print_results - self.results_show=results_show - self.db_file=db_file - self.mqtt_client=None - self.mqtt_topic=mqtt_topic - self.mqtt_broker=mqtt_broker - - return self.meta - - def create(self, num, model): - print('Collector create: hi') - if num > 1 or self.eid is not None: - raise RuntimeError('Can only create one instance of Monitor.') - - self.eid = 'Monitor' - print('Collector create: bye') - - if self.results_show['database']==True: - # if os.path.exists(self.db_file): - # os.remove(self.db_file) - self.conn = sqlite3.connect(self.db_file) - self.cursor = self.conn.cursor() - #self.cursor.execute("ALTER TABLE pv_gen ADD COLUMN date DATATYPE;") - if self.results_show['mqtt'] == True: - self.mqtt_client = mqtt.Client() - broker_url = urlparse(self.mqtt_broker) - if broker_url.hostname and broker_url.port: - self.mqtt_client.connect(broker_url.hostname, broker_url.port) - else: - print('hostname:', broker_url.hostname) - print('port:', broker_url.port) - raise ValueError('Invalid host.') - - return [{'eid': self.eid, 'type': model}] - - def step(self, time, inputs, max_advance): - # print(inputs) - current_date = (self.start_date - + pd.Timedelta(time * self.time_resolution, unit='seconds')) - - df_dict = {'date': current_date} - - data = inputs.get(self.eid, {}) - for attr, values in data.items(): - for src, value in values.items(): - self.data[src][attr][time] = value - df_dict[f'{src}-{attr}'] = [value] - - df = pd.DataFrame.from_dict(df_dict) - df = df.set_index('date') - - if self.results_show['dashboard_show']==True: - for key, value in df.items(): - wandb.log({key: value[0], - "custom_step":time/900}) - - if self.results_show['write2csv'] == True: - if time == 0: - # Overwrite the CSV file at the first time step - df.to_csv(self.output_file, mode='w', header=True) - else: - if os.path.exists(self.output_file): - # Read existing CSV - existing_df = pd.read_csv(self.output_file, index_col='date', parse_dates=True) - - # Align the columns - combined_df = pd.concat([existing_df, df]) - else: - combined_df = df - - # Write the merged data to CSV - combined_df.to_csv(self.output_file, mode='w', header=True) - - - if self.results_show['database']==True: - today_date = pd.Timestamp.now().normalize() - - # Change the date component to today's date, but keep the time component - df.index = df.index.map( - lambda dt: pd.Timestamp(year=today_date.year, month=today_date.month, day=today_date.day-1, hour=dt.hour, - minute=dt.minute, second=dt.second)) - - df.reset_index(inplace=True) - df.to_sql(attr, self.conn, if_exists='append', index=False) - self.conn.commit() - if self.results_show.get('mqtt', False): - msg = df.to_json() - self.mqtt_client.publish(self.mqtt_topic, msg) - - return time + 900 - - def finalize(self): - if self.print_results: - print('Collected data:') - for sim, sim_data in sorted(self.data.items()): - print('- %s:' % sim) - for attr, values in sorted(sim_data.items()): - print(' - %s: %s' % (attr, values)) - - if self.results_show['database']==True: - self.conn.close() - - -if __name__ == '__main__': +import collections +import pandas as pd +import mosaik_api +import os +import sqlite3 +import paho.mqtt.client as mqtt +from urllib.parse import urlparse +META = { + 'type': 'hybrid', + 'models': { + 'Monitor': { + 'public': True, + 'any_inputs': True, + 'params': [], + 'attrs': [], + }, + }, +} +#import wandb +import sqlite3 + +class Collector(mosaik_api.Simulator): + def __init__(self): + super().__init__(META) + self.eid = None + self.data = collections.defaultdict(lambda: collections.defaultdict(dict)) + + def init(self, sid, time_resolution, start_date, results_show,output_file, + date_format='%Y-%m-%d %H:%M:%S', + db_file='Result/result.db', + mqtt_broker='mqtt://192.168.10.90:1883', mqtt_topic='TGVFCBB75', + print_results=False): + self.time_resolution = time_resolution + self.start_date = pd.to_datetime(start_date, format=date_format) + self.output_file = output_file + self.print_results = print_results + self.results_show=results_show + self.db_file=db_file + self.mqtt_client=None + self.mqtt_topic=mqtt_topic + self.mqtt_broker=mqtt_broker + + return self.meta + + def create(self, num, model): + print('Collector create: hi') + if num > 1 or self.eid is not None: + raise RuntimeError('Can only create one instance of Monitor.') + + self.eid = 'Monitor' + print('Collector create: bye') + + if self.results_show['database']==True: + # if os.path.exists(self.db_file): + # os.remove(self.db_file) + self.conn = sqlite3.connect(self.db_file) + self.cursor = self.conn.cursor() + #self.cursor.execute("ALTER TABLE pv_gen ADD COLUMN date DATATYPE;") + if self.results_show['mqtt'] == True: + self.mqtt_client = mqtt.Client() + broker_url = urlparse(self.mqtt_broker) + if broker_url.hostname and broker_url.port: + self.mqtt_client.connect(broker_url.hostname, broker_url.port) + else: + print('hostname:', broker_url.hostname) + print('port:', broker_url.port) + raise ValueError('Invalid host.') + + return [{'eid': self.eid, 'type': model}] + + def step(self, time, inputs, max_advance): + # print(inputs) + current_date = (self.start_date + + pd.Timedelta(time * self.time_resolution, unit='seconds')) + + df_dict = {'date': current_date} + + data = inputs.get(self.eid, {}) + for attr, values in data.items(): + for src, value in values.items(): + self.data[src][attr][time] = value + df_dict[f'{src}-{attr}'] = [value] + + df = pd.DataFrame.from_dict(df_dict) + df = df.set_index('date') + + if self.results_show['dashboard_show']==True: + for key, value in df.items(): + wandb.log({key: value[0], + "custom_step":time/900}) + + if self.results_show['write2csv'] == True: + if time == 0: + # Overwrite the CSV file at the first time step + df.to_csv(self.output_file, mode='w', header=True) + else: + if os.path.exists(self.output_file): + # Read existing CSV + existing_df = pd.read_csv(self.output_file, index_col='date', parse_dates=True) + + # Align the columns + combined_df = pd.concat([existing_df, df]) + else: + combined_df = df + + # Write the merged data to CSV + combined_df.to_csv(self.output_file, mode='w', header=True) + + + if self.results_show['database']==True: + today_date = pd.Timestamp.now().normalize() + + # Change the date component to today's date, but keep the time component + df.index = df.index.map( + lambda dt: pd.Timestamp(year=today_date.year, month=today_date.month, day=today_date.day-1, hour=dt.hour, + minute=dt.minute, second=dt.second)) + + df.reset_index(inplace=True) + df.to_sql(attr, self.conn, if_exists='append', index=False) + self.conn.commit() + if self.results_show.get('mqtt', False): + msg = df.to_json() + self.mqtt_client.publish(self.mqtt_topic, msg) + + return time + 900 + + def finalize(self): + if self.print_results: + print('Collected data:') + for sim, sim_data in sorted(self.data.items()): + print('- %s:' % sim) + for attr, values in sorted(sim_data.items()): + print(' - %s: %s' % (attr, values)) + + if self.results_show['database']==True: + self.conn.close() + + +if __name__ == '__main__': mosaik_api.start_simulation(Collector()) \ No newline at end of file diff --git a/Models/influxdbwriter.py b/src/illuminator/models/influxdbwriter.py similarity index 100% rename from Models/influxdbwriter.py rename to src/illuminator/models/influxdbwriter.py diff --git a/Models/LoadinNetSim/example/read_csv.py b/src/illuminator/models/mosaik_csv.py similarity index 96% rename from Models/LoadinNetSim/example/read_csv.py rename to src/illuminator/models/mosaik_csv.py index a0f8dbe..3d836d7 100644 --- a/Models/LoadinNetSim/example/read_csv.py +++ b/src/illuminator/models/mosaik_csv.py @@ -1,134 +1,134 @@ -import arrow - -import mosaik_api - - -__version__ = '1.2.0' - - -class CSV(mosaik_api.Simulator): - def __init__(self): - super().__init__({'models': {}}) - self.time_resolution = None - self.start_date = None - self.date_format = None - self.delimiter = None - self.datafile = None - self.next_row = None - self.modelname = None - self.attrs = None - self.eids = [] - self.cache = None - - def init(self, sid, time_resolution, sim_start, datafile, date_format='YYYY-MM-DD HH:mm:ss', - delimiter=','): - self.time_resolution = float(time_resolution) - self.delimiter = delimiter - self.date_format = date_format - self.start_date = arrow.get(sim_start, self.date_format) - self.next_date = self.start_date - - self.datafile = open(datafile) - self.modelname = next(self.datafile).strip() - - # Get attribute names and strip optional comments - attrs = next(self.datafile).strip().split(self.delimiter)[1:] - for i, attr in enumerate(attrs): - try: - # Try stripping comments - attr = attr[:attr.index('#')] - except ValueError: - pass - attrs[i] = attr.strip() - self.attrs = attrs - - self.meta['type'] = 'time-based' - - self.meta['models'][self.modelname] = { - 'public': True, - 'params': [], - 'attrs': attrs, - } - - # Check start date - self._read_next_row() - if self.start_date < self.next_row[0]: - raise ValueError('Start date "%s" not in CSV file.' % - self.start_date.format(self.date_format)) - while self.start_date > self.next_row[0]: - self._read_next_row() - if self.next_row is None: - raise ValueError('Start date "%s" not in CSV file.' % - self.start_date.format(self.date_format)) - - return self.meta - - def create(self, num, model): - if model != self.modelname: - raise ValueError('Invalid model "%s" % model') - - start_idx = len(self.eids) - entities = [] - for i in range(num): - eid = '%s_%s' % (model, i + start_idx) - entities.append({ - 'eid': eid, - 'type': model, - 'rel': [], - }) - self.eids.append(eid) - return entities - - def step(self, time, inputs, max_advance): - data = self.next_row - if data is None: - raise IndexError('End of CSV file reached.') - - # Check date - date = data[0] - expected_date = self.start_date.shift(seconds=time*self.time_resolution) - if date != expected_date: - raise IndexError('Wrong date "%s", expected "%s"' % ( - date.format(self.date_format), - expected_date.format(self.date_format))) - - # Put data into the cache for get_data() calls - self.cache = {} - for attr, val in zip(self.attrs, data[1:]): - self.cache[attr] = float(val) - - self._read_next_row() - if self.next_row is not None: - return time + int((self.next_row[0].int_timestamp - date.int_timestamp)/self.time_resolution) - else: - return max_advance - - def get_data(self, outputs): - data = {} - for eid, attrs in outputs.items(): - if eid not in self.eids: - raise ValueError('Unknown entity ID "%s"' % eid) - - data[eid] = {} - for attr in attrs: - data[eid][attr] = self.cache[attr] - - return data - - def _read_next_row(self): - try: - self.next_row = next(self.datafile).strip().split(self.delimiter) - self.next_row[0] = arrow.get(self.next_row[0], self.date_format) - except StopIteration: - self.next_row = None - - def finalize(self): - self.datafile.close() - - -def main(): - return mosaik_api.start_simulation(CSV(), 'mosaik-csv simulator') - - -if __name__ == "__main__": - main() +import arrow + +import mosaik_api + + +__version__ = '1.2.0' + + +class CSV(mosaik_api.Simulator): + def __init__(self): + super().__init__({'models': {}}) + self.time_resolution = None + self.start_date = None + self.date_format = None + self.delimiter = None + self.datafile = None + self.next_row = None + self.modelname = None + self.attrs = None + self.eids = [] + self.cache = None + + def init(self, sid, time_resolution, sim_start, datafile, date_format='YYYY-MM-DD HH:mm:ss', + delimiter=','): + self.time_resolution = float(time_resolution) + self.delimiter = delimiter + self.date_format = date_format + self.start_date = arrow.get(sim_start, self.date_format) + self.next_date = self.start_date + + self.datafile = open(datafile) + self.modelname = next(self.datafile).strip() + + # Get attribute names and strip optional comments + attrs = next(self.datafile).strip().split(self.delimiter)[1:] + for i, attr in enumerate(attrs): + try: + # Try stripping comments + attr = attr[:attr.index('#')] + except ValueError: + pass + attrs[i] = attr.strip() + self.attrs = attrs + + self.meta['type'] = 'time-based' + + self.meta['models'][self.modelname] = { + 'public': True, + 'params': [], + 'attrs': attrs, + } + + # Check start date + self._read_next_row() + if self.start_date < self.next_row[0]: + raise ValueError('Start date "%s" not in CSV file.' % + self.start_date.format(self.date_format)) + while self.start_date > self.next_row[0]: + self._read_next_row() + if self.next_row is None: + raise ValueError('Start date "%s" not in CSV file.' % + self.start_date.format(self.date_format)) + + return self.meta + + def create(self, num, model): + if model != self.modelname: + raise ValueError('Invalid model "%s" % model') + + start_idx = len(self.eids) + entities = [] + for i in range(num): + eid = '%s_%s' % (model, i + start_idx) + entities.append({ + 'eid': eid, + 'type': model, + 'rel': [], + }) + self.eids.append(eid) + return entities + + def step(self, time, inputs, max_advance): + data = self.next_row + if data is None: + raise IndexError('End of CSV file reached.') + + # Check date + date = data[0] + expected_date = self.start_date.shift(seconds=time*self.time_resolution) + if date != expected_date: + raise IndexError('Wrong date "%s", expected "%s"' % ( + date.format(self.date_format), + expected_date.format(self.date_format))) + + # Put data into the cache for get_data() calls + self.cache = {} + for attr, val in zip(self.attrs, data[1:]): + self.cache[attr] = float(val) + + self._read_next_row() + if self.next_row is not None: + return time + int((self.next_row[0].int_timestamp - date.int_timestamp)/self.time_resolution) + else: + return max_advance + + def get_data(self, outputs): + data = {} + for eid, attrs in outputs.items(): + if eid not in self.eids: + raise ValueError('Unknown entity ID "%s"' % eid) + + data[eid] = {} + for attr in attrs: + data[eid][attr] = self.cache[attr] + + return data + + def _read_next_row(self): + try: + self.next_row = next(self.datafile).strip().split(self.delimiter) + self.next_row[0] = arrow.get(self.next_row[0], self.date_format) + except StopIteration: + self.next_row = None + + def finalize(self): + self.datafile.close() + + +def main(): + return mosaik_api.start_simulation(CSV(), 'mosaik-csv simulator') + + +if __name__ == "__main__": + main() diff --git a/Models/mosaik_sql.py b/src/illuminator/models/mosaik_sql.py similarity index 100% rename from Models/mosaik_sql.py rename to src/illuminator/models/mosaik_sql.py diff --git a/Models/mqttsend.py b/src/illuminator/models/mqttsend.py similarity index 96% rename from Models/mqttsend.py rename to src/illuminator/models/mqttsend.py index 56a105d..ed5f6d2 100644 --- a/Models/mqttsend.py +++ b/src/illuminator/models/mqttsend.py @@ -1,54 +1,54 @@ -import collections -import pandas as pd -import mosaik_api -import paho.mqtt.client as mqtt - -META = { - 'type': 'hybrid', - 'models': { - 'MqttSend': { - 'public': True, - 'any_inputs': True, - 'params': ['mqtt_broker', 'mqtt_port', 'mqtt_topic'], - 'attrs': [], - }, - }, -} - -class MqttSendModel(mosaik_api.Simulator): - def __init__(self): - super().__init__(META) - self.eid = None - self.data = collections.defaultdict(lambda: collections.defaultdict(dict)) - self.mqtt_client = mqtt.Client() - - def init(self, sid, mqtt_broker='localhost', mqtt_port=1883, mqtt_topic='mosaik/data'): - self.mqtt_broker = mqtt_broker - self.mqtt_port = mqtt_port - self.mqtt_topic = mqtt_topic - self.mqtt_client.connect(self.mqtt_broker, self.mqtt_port) - - return self.meta - - def create(self, num, model): - if num > 1 or self.eid is not None: - raise RuntimeError('Can only create one instance of MqttSend.') - - self.eid = 'MqttSend' - return [{'eid': self.eid, 'type': model}] - - def step(self, time, inputs): - data = inputs.get(self.eid, {}) - for attr, values in data.items(): - for src, value in values.items(): - self.data[src][attr][time] = value - self.mqtt_client.publish(self.mqtt_topic, payload=str(value)) - - return time + 60 # Adjust the step time as necessary - - def finalize(self): - self.mqtt_client.disconnect() - print('Disconnected from MQTT broker') - -if __name__ == '__main__': - mosaik_api.start_simulation(MqttSendModel()) +import collections +import pandas as pd +import mosaik_api +import paho.mqtt.client as mqtt + +META = { + 'type': 'hybrid', + 'models': { + 'MqttSend': { + 'public': True, + 'any_inputs': True, + 'params': ['mqtt_broker', 'mqtt_port', 'mqtt_topic'], + 'attrs': [], + }, + }, +} + +class MqttSendModel(mosaik_api.Simulator): + def __init__(self): + super().__init__(META) + self.eid = None + self.data = collections.defaultdict(lambda: collections.defaultdict(dict)) + self.mqtt_client = mqtt.Client() + + def init(self, sid, mqtt_broker='localhost', mqtt_port=1883, mqtt_topic='mosaik/data'): + self.mqtt_broker = mqtt_broker + self.mqtt_port = mqtt_port + self.mqtt_topic = mqtt_topic + self.mqtt_client.connect(self.mqtt_broker, self.mqtt_port) + + return self.meta + + def create(self, num, model): + if num > 1 or self.eid is not None: + raise RuntimeError('Can only create one instance of MqttSend.') + + self.eid = 'MqttSend' + return [{'eid': self.eid, 'type': model}] + + def step(self, time, inputs): + data = inputs.get(self.eid, {}) + for attr, values in data.items(): + for src, value in values.items(): + self.data[src][attr][time] = value + self.mqtt_client.publish(self.mqtt_topic, payload=str(value)) + + return time + 60 # Adjust the step time as necessary + + def finalize(self): + self.mqtt_client.disconnect() + print('Disconnected from MQTT broker') + +if __name__ == '__main__': + mosaik_api.start_simulation(MqttSendModel()) diff --git a/Models/submqtt.py b/src/illuminator/models/submqtt.py similarity index 96% rename from Models/submqtt.py rename to src/illuminator/models/submqtt.py index a0015f0..8750ae6 100644 --- a/Models/submqtt.py +++ b/src/illuminator/models/submqtt.py @@ -1,89 +1,89 @@ -import mosaik_api -import paho.mqtt.client as mqtt - -META = { - 'models': { - 'MqttReceiver': { - 'public': True, - 'params': ['mqtt_broker', 'mqtt_port', 'mqtt_topic'], - 'attrs': [], - }, - }, -} - - -class MqttReceiver(mosaik_api.Simulator): - def __init__(self): - super().__init__(META) - self.time_resolution = None - self.eid = None - self.mqtt_client = mqtt.Client() - self.attrs = [] - self.data_cache = {} - self.modelname = None - - def init(self, sid, mqtt_broker='localhost', mqtt_port=1883, mqtt_topic='mosaik/data', time_resolution=60, attrs): - self.time_resolution = time_resolution - self.mqtt_broker = mqtt_broker - self.mqtt_port = mqtt_port - self.mqtt_topic = mqtt_topic - self.modelname = mqtt_topic.split('/')[-1] - - self.mqtt_client.connect(self.mqtt_broker, self.mqtt_port) - self.mqtt_client.on_message = self.on_message - self.mqtt_client.subscribe(self.mqtt_topic) - - for i, attr in enumerate(attrs): - try: - # Try stripping comments - attr = attr[:attr.index('#')] - except ValueError: - pass - attrs[i] = attr.strip() - self.attrs = attrs - - - self.meta['models']['MqttReceiver'] = { - 'public': True, - 'params': [], - 'attrs': self.attrs, - } - - return self.meta - - def create(self, num, model): - if num > 1 or self.eid is not None: - raise RuntimeError('Can only create one instance of MqttReceiver.') - - self.eid = 'MqttReceiver' - return [{'eid': self.eid, 'type': model}] - - def step(self, time, inputs): - self.mqtt_client.loop(timeout=1.0) - return time + self.time_resolution - - def get_data(self, outputs): - data = {} - for eid, attrs in outputs.items(): - data[eid] = {attr: self.data_cache.get(attr, None) for attr in attrs} - return data - - def on_message(self, client, userdata, message): - data = message.payload.decode('utf-8') - attr_name, attr_value = data.split(':') # Assuming the message format is "attr_name:attr_value" - - if attr_name not in self.attrs: - self.attrs.append(attr_name) - - self.data_cache[attr_name] = float(attr_value) - - def finalize(self): - self.mqtt_client.disconnect() - - -def main(): - return mosaik_api.start_simulation(MqttReceiver(), 'mosaik-mqtt-receiver simulator') - - -if __name__ == "__main__": - main() +import mosaik_api +import paho.mqtt.client as mqtt + +META = { + 'models': { + 'MqttReceiver': { + 'public': True, + 'params': ['mqtt_broker', 'mqtt_port', 'mqtt_topic'], + 'attrs': [], + }, + }, +} + + +class MqttReceiver(mosaik_api.Simulator): + def __init__(self): + super().__init__(META) + self.time_resolution = None + self.eid = None + self.mqtt_client = mqtt.Client() + self.attrs = [] + self.data_cache = {} + self.modelname = None + + def init(self, sid, mqtt_broker='localhost', mqtt_port=1883, mqtt_topic='mosaik/data', time_resolution=60, attrs): + self.time_resolution = time_resolution + self.mqtt_broker = mqtt_broker + self.mqtt_port = mqtt_port + self.mqtt_topic = mqtt_topic + self.modelname = mqtt_topic.split('/')[-1] + + self.mqtt_client.connect(self.mqtt_broker, self.mqtt_port) + self.mqtt_client.on_message = self.on_message + self.mqtt_client.subscribe(self.mqtt_topic) + + for i, attr in enumerate(attrs): + try: + # Try stripping comments + attr = attr[:attr.index('#')] + except ValueError: + pass + attrs[i] = attr.strip() + self.attrs = attrs + + + self.meta['models']['MqttReceiver'] = { + 'public': True, + 'params': [], + 'attrs': self.attrs, + } + + return self.meta + + def create(self, num, model): + if num > 1 or self.eid is not None: + raise RuntimeError('Can only create one instance of MqttReceiver.') + + self.eid = 'MqttReceiver' + return [{'eid': self.eid, 'type': model}] + + def step(self, time, inputs): + self.mqtt_client.loop(timeout=1.0) + return time + self.time_resolution + + def get_data(self, outputs): + data = {} + for eid, attrs in outputs.items(): + data[eid] = {attr: self.data_cache.get(attr, None) for attr in attrs} + return data + + def on_message(self, client, userdata, message): + data = message.payload.decode('utf-8') + attr_name, attr_value = data.split(':') # Assuming the message format is "attr_name:attr_value" + + if attr_name not in self.attrs: + self.attrs.append(attr_name) + + self.data_cache[attr_name] = float(attr_value) + + def finalize(self): + self.mqtt_client.disconnect() + + +def main(): + return mosaik_api.start_simulation(MqttReceiver(), 'mosaik-mqtt-receiver simulator') + + +if __name__ == "__main__": + main() From e6ca469eb593471e2b8f0ec7808b400e90393eb2 Mon Sep 17 00:00:00 2001 From: Manuel Garcia Date: Mon, 16 Sep 2024 11:05:57 +0200 Subject: [PATCH 2/8] add pyproject.toml to illuminato package --- pyproject.toml | 49 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 49 insertions(+) create mode 100644 pyproject.toml diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..dcef2d0 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,49 @@ +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[project] +name = "illuminator" +version = "0.1.0" +description = "A development toolkit for simulating energy systems" +license = {file = "LICENSE"} +readme = "README.md" +requires-python = ">=3.8" +authors = [ + { name = "Your Name", email = "your.email@example.com" } +] +maintainers = [ + { name = "Your Name", email = "you.email@example.com"} + ] +dependencies = [ + "arrow==1.2.3", + "lxml==4.9.3", + "matplotlib==3.7.2", + "paho-mqtt==1.6.1", + "pandapower==2.13.1", + "pandas==1.5.3", + "mosaik==3.1.1" +] +keywords = [ + "energy", + "simulation", + "development", + "toolkit" +] +classifiers = [ + "Development Status :: 5 - Production/Stable", + "Programming Language :: Python" +] + + +[project.optional-dependencies] +dev = [ + "pytest" +] + +[project.urls] +Homepage = "https://example.com" +Documentation = "https://readthedocs.org" +Repository = "https://github.com/Illuminator-team/Illuminator.git" +"Bug Tracker" = "https://github.com/Illuminator-team/Illuminator/issues" +Changelog = "https://github.com/me/spam/blob/master/CHANGELOG.md" \ No newline at end of file From e97cc2c34ee6ced2063758b42825c7158d9e8e35 Mon Sep 17 00:00:00 2001 From: Manuel Garcia Date: Mon, 16 Sep 2024 16:05:11 +0200 Subject: [PATCH 3/8] Add comments for wheel build target in pyproject.toml --- pyproject.toml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/pyproject.toml b/pyproject.toml index dcef2d0..d0cb7df 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,8 @@ [build-system] requires = ["hatchling"] build-backend = "hatchling.build" +# [tool.hatch.build.targets.wheel] +# packages = ["src/illuminator"] [project] name = "illuminator" From 6cd3a821d2955fb50d003945463d8abdf3d49e72 Mon Sep 17 00:00:00 2001 From: Manuel Garcia Date: Mon, 16 Sep 2024 16:05:21 +0200 Subject: [PATCH 4/8] add init file to src/illuminator --- src/illuminator/__init__.py | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 src/illuminator/__init__.py diff --git a/src/illuminator/__init__.py b/src/illuminator/__init__.py new file mode 100644 index 0000000..e69de29 From 2abc86d583390cee3eb29d7df6742bb522e06b8d Mon Sep 17 00:00:00 2001 From: Mano-Rom Date: Mon, 16 Sep 2024 17:39:52 +0200 Subject: [PATCH 5/8] Add a state space model accoring to Inputs, outputs, states, and parameters. This serves as a basis for a standardized mosaik interface. --- .../state_space_model.py | 10 ++ .../state_space_simulator.py | 133 ++++++++++++++++++ 2 files changed, 143 insertions(+) create mode 100644 Models/example_illuminator_2/state_space_model.py create mode 100644 Models/example_illuminator_2/state_space_simulator.py diff --git a/Models/example_illuminator_2/state_space_model.py b/Models/example_illuminator_2/state_space_model.py new file mode 100644 index 0000000..977b6ae --- /dev/null +++ b/Models/example_illuminator_2/state_space_model.py @@ -0,0 +1,10 @@ +class Model: + def __init__(self, inputs, outputs, parameters, states): + self.inputs = inputs + self.outputs = outputs + self.parameters = parameters + self.states = states + + self.meta = + def step(self): + diff --git a/Models/example_illuminator_2/state_space_simulator.py b/Models/example_illuminator_2/state_space_simulator.py new file mode 100644 index 0000000..2140e55 --- /dev/null +++ b/Models/example_illuminator_2/state_space_simulator.py @@ -0,0 +1,133 @@ +import mosaik_api_v3 +try: + from models.state_space_model import Model as model # Modify model.state_space_model to model._model +except ImportError: + from state_space_model import Model as model # Modify model.state_space_model to model._model +else: + raise ImportError('Model not found.') +# END OF IMPORTS + +""" Mandatory prefilled .yaml file +- name: Batteries + path: 'Models/state_space_model.py' # path to the models's code + models: + - name: Battery1 + Inputs: [demand_power_flow=0] # Positive values are charging, negative values are discharging + Outputs: [effective_power_flow=0] # effective_power_flow is the actual power flow + Parameters: [capacity=1000] # capacity is the battery capacity in kWh + States: [soc=500] # soc is the state of charge in kWh +""" + +META = { + 'type': 'time-based', + 'models': { + 'SSM_Example': { + 'public': True, + 'params': ['soc', 'capacity'], + 'attrs': ['requested_power_flow', 'effective_power_flow', 'soc'], + }, + }, +} + +class StateSpaceSimulator(mosaik_api_v3.Simulator): + """ + A simulator class representing a state space model. To illustrate we implemented a simple battery. + + To use your own model you must: + 1) Files: + - Make a new folder in the models directory with the name of your model. + - Copy the state_space_simulator.py and state_space_model.py into the new folder. + - Modify the name of the file as such: _simulator.py and _model.py. + 2) Simulator: + - Change the model import to point to your model. + - Modify the META dictionary: + - Include the model name. + - Include the model parameters, which in a SSM model are the states + parameters. + - Include the model attributes, which in a SSM model are the inputs + outputs. + - Modify the empty .yaml file at the top: + - Include the model name. + - Include the model inputs. Make sure to select good default values, that ensure stability. Or set the default to None. + - Include the model outputs. Make sure to select good default values, that ensure stability. Or set the default to None. + - Include the model parameters. Set relevant default values and explain the meaning of the parameters and when the defaults are valid. + - Include the model states. Set relevant default values and explain the meaning of the states and when the defaults are valid. + 3) Model: + - Modify the model to include the model logic. + - Modify the model to include the model step function. + + Attributes: + entities (dict): A dictionary storing all instances of this model by ID. + + Methods: + init(sid, model, model_name, step_size): + Initializes the state space model. + + create(num, inputs, outputs, parameters, states): + Creates multiple entities of the model. + + step(time, inputs): + Processes inputs and steps the model. + + get_data(outputs): + Retrieves output data from the model. + """ + def __init__(self): + super().__init__(META) + self.entities = {} # Stores all instances of this model by ID + + def init(self, sid, step_size, model_name): + self.sid = sid # Store the simulation ID + self.model = model # Pointer to model to create such as: 'Battery', 'PV', 'Wind', etc. + self.model_name = model_name # Store the model name to ensure uniqueness of entity IDs. Sometimes called eid_prefix. + self.step_size = step_size # Store the step size + return self.meta + + def create(self, num, inputs, outputs, parameters, states): + # Create num entities + entities = [] + for i in range(num): + eid = f'{self.model_name}_{i}' # Create unique entity ID + new_model = self.model( # Create a new model instance, passing the inputs, outputs, parameters, and states + inputs=inputs, + outputs=outputs, + parameters=parameters, + states=states + ) + self.entities[eid] = new_model # Store the model instance internally + entities.append({'eid': eid, 'type': self.model}) # Append the entity ID and type to the list of entities + return entities + + def step(self, time, inp uts): + self.time = time + # Process inputs and step the model + for eid, entity_inputs in inputs.items(): + current_model = self.entities[eid] # Get the model instance + # Update the inputs + for attr, value in entity_inputs.items(): + current_model.inputs[attr] = value + + # Perform a simulation step + current_model.step() + + return time + self.step_size + + def get_data(self, outputs): + data = {} # Create a dictionary to store the output data + data['time'] = self.time + for eid, attrs in outputs.items(): + model = self.entities[eid] # Get the model instance + data[eid] = {} + for attr in attrs: + # Get model outputs: + try: + data[eid][attr] = getattr(model, attr) # Get the attribute value from the model instance + except ValueError as e: + print(f'Error getting attribute {attr} for entity {eid}: {e}') # Log an error if the attribute is not found + return data + + +def main(): + return mosaik_api_v3.start_simulation(StateSpaceSimulator()) + + +if __name__ == '__main__': + main() \ No newline at end of file From d1addde88594ae0ce903347675a1b382bbb7f3e8 Mon Sep 17 00:00:00 2001 From: Manuel Garcia Date: Fri, 20 Sep 2024 00:12:34 +0200 Subject: [PATCH 6/8] Remove unused state space model implementation from example illuminator 2 --- Models/example_illuminator_2/state_space_model.py | 10 ---------- 1 file changed, 10 deletions(-) delete mode 100644 Models/example_illuminator_2/state_space_model.py diff --git a/Models/example_illuminator_2/state_space_model.py b/Models/example_illuminator_2/state_space_model.py deleted file mode 100644 index 977b6ae..0000000 --- a/Models/example_illuminator_2/state_space_model.py +++ /dev/null @@ -1,10 +0,0 @@ -class Model: - def __init__(self, inputs, outputs, parameters, states): - self.inputs = inputs - self.outputs = outputs - self.parameters = parameters - self.states = states - - self.meta = - def step(self): - From 8ac8eed14848e4ee0773bf627ea4e312b34934d3 Mon Sep 17 00:00:00 2001 From: Manuel Garcia Date: Fri, 20 Sep 2024 00:12:55 +0200 Subject: [PATCH 7/8] Add IlluminatorModel class and simulator type enumeration --- src/illuminator/models/construct_model.py | 59 +++++++++++++++++++++++ 1 file changed, 59 insertions(+) create mode 100644 src/illuminator/models/construct_model.py diff --git a/src/illuminator/models/construct_model.py b/src/illuminator/models/construct_model.py new file mode 100644 index 0000000..d96364e --- /dev/null +++ b/src/illuminator/models/construct_model.py @@ -0,0 +1,59 @@ +from abc import ABC, abstractmethod +from dataclasses import dataclass +from enum import Enum + +META = { + 'type': 'time-based', + 'models': { + 'SSM_Example': { + 'public': True, + 'params': ['soc', 'capacity'], # declare what attributes in the model can be written to + 'attrs': ['requested_power_flow', 'effective_power_flow', 'soc'], # declare what attributes in the model can be read from + }, + }, +} + +class SimulatorType(Enum): + TIME_BASED = 'time-based' + EVENT_BASED = 'event-based' + HYBRID = 'hybrid' + + +@dataclass +class IlluminatorModel(ABC): + """ A common interface for adding energy models to the Illuminator. + This class combines the creation of model and simulators for the + Mosaik engine. + + Parameters: + """ + + # TODO:the ideal solution provides a single interface for creating a model and its simulator + + # meta + model_name: str + inputs: list + outputs: list + parameters: list # variables which values can be set when instantiating the model (can this be always considered inputs?) + states: list + simulator_type: SimulatorType = SimulatorType.TIME_BASED + public: bool = True + attrs: list # model properties that can be read from (can these be always considered outputs?) + + + @abstractmethod + def create(self, *args): + """ Create a new model instance. """ + pass + + + @abstractmethod + def step(self): + """ Define the model step function. """ + pass + + @abstractmethod + def ge_data(self): + """ Get data from the model. """ + pass + From f494003d27eae71b6ccf526fa0aad8c9f01bdcca Mon Sep 17 00:00:00 2001 From: Josip Grguric Date: Fri, 20 Sep 2024 16:10:47 +0200 Subject: [PATCH 8/8] First version of illuminator model interface --- Models/construct_model.py | 105 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 105 insertions(+) create mode 100644 Models/construct_model.py diff --git a/Models/construct_model.py b/Models/construct_model.py new file mode 100644 index 0000000..5b24989 --- /dev/null +++ b/Models/construct_model.py @@ -0,0 +1,105 @@ +from abc import ABC, abstractmethod +from dataclasses import dataclass +from enum import Enum +from mosaik_api import Simulator + +class SimulatorType(Enum): + TIME_BASED = 'time-based' + EVENT_BASED = 'event-based' + HYBRID = 'hybrid' + +# NOTE: I have also inherited from the mosaik_api.Simulator class to integrate this model +# This seems naïve to me. Lots of redundancy with defining which methods are mandatory. +# As for the: the models created seem to have a wide variety of attributes and parameters that are defined. +# In addition, the naming convection of the methods created in them is also non-existant +@dataclass +class IlluminatorModel(Simulator, ABC): + """ + A common interface for adding energy models to the Illuminator. + This class combines the creation of model and simulators for the Mosaik engine. + + ... + + Parameters + ---------- + simulator_type: SimulatorType.TIME_BASED + Defines how the simulator is advanced through time and whether its attributes are persistent in time or transient + model_name: str + The name of the model + public: bool + Determines whether a model can be instantiated by a user + parameters: list + Variables which values can be set when instantiating the model (can this be always considered inputs?) + attrs: list + Model properties that can be read from (can these be always considered outputs?) + trigger: list + Attribute names that cause the simulator to be stepped when another simulator provides output which is connected to one of those. + Empty if no triggers. + inputs: list + ??? + outputs: list + ??? + states: list + ??? + """ + + # TODO:the ideal solution provides a single interface for creating a model and its simulator + + ### meta data ### + model_name: str + parameters: list # variables which values can be set when instantiating the model (can this be always considered inputs?) + attrs: list # model properties that can be read from (can these be always considered outputs?) + trigger: list + + inputs: list + outputs: list + states: list + + simulator_type: SimulatorType = SimulatorType.TIME_BASED + public: bool = True + ################# + + @classmethod + def __test__(cls, subclass): + return hasattr(subclass, "__init__") + + def __post_init__(self): + """ + Post-init method which creates and initializes the metadata used by mosaik_api + """ + META = { + 'type': self.simulator_type, + 'models': { + self.model_name: { + 'public': self.public, + 'params': self.parameters, + 'attrs': self.attrs, + 'trigger': self.trigger + }, + }, + } + super().__init__(META) + + @abstractmethod + def init(self, sid, time_resolution, *args): + """ Initialize the simulator with the ID `sid` and pass the `time_resolution` and additional parameters sent by mosaik. """ + raise NotImplementedError + + @abstractmethod + def create(self, num, model, *args): + """ Create `num` instances of `model` using the provided additional arguments """ + raise NotImplementedError + + @abstractmethod + def step(self, time, inputs, max_advance): + """ + Perform the next simulation step from time `time` using input values + from `inputs` and return the new simulation time (the time at which + `step()` should be called again) + """ + raise NotImplementedError + + @abstractmethod + def get_data(self, outputs): + """ Return the data for the requested outputs """ + raise NotImplementedError \ No newline at end of file