+ 
+
+
+# Battery storage
+The battery storage parameters are all set in the python file named 'buildmodelset.py' in the configuration folder.
+```
+'max_p': the rated charging power
+'min_p': the rated discharging negative power.
+'max_energy': the battery capacity
+'soc_min': the minimum soc limitation
+'soc_max': the maximum soc limitation
+'flage': the status of the battery. flag=1 means fully charged; flag=-1 means fully discharged; flag=0 means ready for charge and discharge
+'resolution': the time-step of simulation in minutes
+```
+# H2P system (Electrolyser, Fuel cell and hydrogen tank)
+The parameters of the H2P system also set the python file as battery storage.
+
+h2storage_initial = {'initial_soc': 20}
+h2_set = {'h2storage_soc_min': 10, 'h2storage_soc_max': 90, 'max_h2': 200, 'min_h2': -200, 'flag': -1}
+```
+'h2storage_soc_min': the mimum limitation of the hydrogen tank soc.
+'h2storage_soc_max': the maximum limitation of the hydrogen tank soc.
+'max_h2': the hydorgen tank maximum storage.
+'fc_eff': the efficiency of fuel cell
+'ele_eff' : the efficiency of the electrolyzer
+```
diff --git a/raspi/Models/Battery/__init__.py b/raspi/Models/Battery/__init__.py
new file mode 100755
index 0000000..e69de29
diff --git a/raspi/Models/Battery/battery_model.py b/raspi/Models/Battery/battery_model.py
new file mode 100755
index 0000000..3e0395e
--- /dev/null
+++ b/raspi/Models/Battery/battery_model.py
@@ -0,0 +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) and (self.flag != -1):
+ 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) and (self.flag != 1):
+ 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/raspi/Models/Battery/battery_mosaik.py b/raspi/Models/Battery/battery_mosaik.py
new file mode 100755
index 0000000..d88d04e
--- /dev/null
+++ b/raspi/Models/Battery/battery_mosaik.py
@@ -0,0 +1,180 @@
+# 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': 'event-based',
+ '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': ['flow2b'],
+ },
+ },
+}
+
+
+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=1 ): # 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.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)
+
+ # In {'p_ask': {'CSVB-0.BATTEYP_0': 0.5}}, 'p_ask' is the attr, and 0.5 is vals
+ for attr, vals in attrs.items():
+ if attr == 'flow2b':
+ energy_ask = list(vals.values())[0]
+
+ # todo: Add conditions for checking SOC of battery and making a decision
+ self._cache[eid] = self.entities[eid].output_power(energy_ask, self.soc[eid])
+
+ # 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/raspi/Models/Controller/__init__.py b/raspi/Models/Controller/__init__.py
new file mode 100755
index 0000000..e69de29
diff --git a/raspi/Models/Controller/controller_model.py b/raspi/Models/Controller/controller_model.py
new file mode 100755
index 0000000..15f18c4
--- /dev/null
+++ b/raspi/Models/Controller/controller_model.py
@@ -0,0 +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
diff --git a/raspi/Models/Controller/controller_mosaik.py b/raspi/Models/Controller/controller_mosaik.py
new file mode 100755
index 0000000..568ad60
--- /dev/null
+++ b/raspi/Models/Controller/controller_mosaik.py
@@ -0,0 +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()
diff --git a/raspi/Models/Electrolyser/__init__.py b/raspi/Models/Electrolyser/__init__.py
new file mode 100755
index 0000000..e69de29
diff --git a/raspi/Models/Electrolyser/electrolyser_model.py b/raspi/Models/Electrolyser/electrolyser_model.py
new file mode 100755
index 0000000..0369719
--- /dev/null
+++ b/raspi/Models/Electrolyser/electrolyser_model.py
@@ -0,0 +1,33 @@
+class electrolyser_python:
+ def __init__(self, eff, fc_eff, resolution):
+ self.p_in = None
+ self.h_out = None
+ self.eff = eff
+ self.fc_eff = fc_eff
+ self.resolution = resolution
+
+ def electrolyser(self, flow2e):
+
+ # self.p_in = p_ask_e
+ # self.p_out = self.p_in * self.eff
+ # re_params = {'elec_gen': self.p_out}
+ # return re_params
+ if flow2e > 0:
+ self.p_in = flow2e # in kW
+ conversion = self.p_in * self.resolution * 60 # kJ # since we are gentting power for 15mins, hence we conver kW to kJ by multiplying with 15mins * 60 seconds in a minute
+ 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
+ self.h_out = out / 1000 # kg of hydrogen produced
+ re_params = {'h2_gen': self.h_out} #, 'h2_out': 0}
+ # elif flow2e < 0:
+ # q = 39.4 # kW/Kg # this is the amount of power that can be generated from 1 kg of Hydrogen or kWh of energy in 1 hour from 1 kg hydrogen. The power remains constant for a period of 1hr
+ #
+ # self.h_out = (flow2e / q) / self.fc_eff # Kg
+ #
+ # re_params = {'h2_out': self.h_out, 'h2_gen': 0}
+ else:
+ self.h_out = 0
+ re_params = {'h2_gen': self.h_out} #, 'h2_out': 0}
+
+ return re_params
diff --git a/raspi/Models/Electrolyser/electrolyser_mosaik.py b/raspi/Models/Electrolyser/electrolyser_mosaik.py
new file mode 100755
index 0000000..ce954c8
--- /dev/null
+++ b/raspi/Models/Electrolyser/electrolyser_mosaik.py
@@ -0,0 +1,96 @@
+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',
+ # 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': {
+ 'electrolysermodel': {
+ 'public': True,
+ 'params': ['sim_start', 'eff', 'fc_eff', 'resolution'],
+ 'attrs': ['electro_id','h2_gen', 'flow2e', 'fc_eff', 'h2_out',],
+ 'trigger': [],
+ },
+ },
+}
+
+
+class ElectrolyserSim(mosaik_api.Simulator):
+ def __init__(self):
+ super().__init__(META)
+ self.eid_prefix = 'electro_' # 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
+
+ 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 = 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():
+ # print(eid)
+ # print(attrs)
+ for attr, vals in attrs.items():
+ if attr == 'flow2e':
+ flow2e = list(vals.values())[0]
+ self._cache[eid] = self.entities[eid].electrolyser(flow2e) # not necessary to have u in brackets. It is not
+
+ 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 == 'h2_out':
+ # data[eid][attr] = self._cache[eid]['h2_out']
+ return data
+
+
+def main():
+ mosaik_api.start_simulation(ElectrolyserSim(), 'Electrolyser-Simulator')
+
+if __name__ == "__main__":
+ main()
+
diff --git a/raspi/Models/Fuelcell/__init__.py b/raspi/Models/Fuelcell/__init__.py
new file mode 100755
index 0000000..e69de29
diff --git a/raspi/Models/Fuelcell/fuelcell_model.py b/raspi/Models/Fuelcell/fuelcell_model.py
new file mode 100755
index 0000000..f04bacf
--- /dev/null
+++ b/raspi/Models/Fuelcell/fuelcell_model.py
@@ -0,0 +1,14 @@
+
+class fuelcell_python:
+ def __init__(self, eff):
+ self.p_in = None
+ self.p_out = None
+ self.eff = eff
+
+ def output(self, h2_consume):
+ # hydrogen input will be in Kg. Output will be electricity using the HHv value of hydrogen
+ energy = 39.4 # kWh generated from 1 Kg hydrogen in 1 hour
+ power = 39.4/60 # kW
+ out = (-h2_consume*power*self.eff*15) #KWh generated from fuelcell taking into consideration its efficiency
+ re_params = {'fc_gen': out}
+ return re_params
diff --git a/raspi/Models/Fuelcell/fuelcell_mosaik.py b/raspi/Models/Fuelcell/fuelcell_mosaik.py
new file mode 100755
index 0000000..df0bbd7
--- /dev/null
+++ b/raspi/Models/Fuelcell/fuelcell_mosaik.py
@@ -0,0 +1,107 @@
+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',
+ #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': {
+ 'fuelcellmodel': {
+ 'public': True,
+ 'params': ['sim_start', 'eff'],
+ 'attrs': ['h2_consume', 'fc_gen'],
+ 'trigger': [],
+ },
+ },
+}
+
+class FuelCellSim(mosaik_api.Simulator):
+ def __init__(self):
+ super().__init__(meta)
+ self.eid_prefix = 'fc_' # 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
+ self.fc_gen = {}
+
+ 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('########### FC id', eid)
+ 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')) # timedelta represents a duration of time
+ print('from fc %%%%%%%%%%', current_time)
+
+ for eid, attrs in inputs.items():
+ # raghav: Inputs come from a controller. This happens when you define the connection in the scenario file
+ # print(eid)
+ # print(attrs)
+ for attr, vals in attrs.items():
+ if attr == 'h2_consume':
+ h2_consume = list(vals.values())[0]
+ # print(h2_consume)
+ self._cache[eid] = self.entities[eid].output(h2_consume)
+ # in the above line, we have called our entity of fuelcell model we created in create followed by a
+ # definition 'output. Since self.entities = model_instance and model instance calls out fuelcell
+ # python model, so in this step we are called the function 'output' and give it a value for h2_in.
+ # This step makes the python file run and do the calculations for us of wind_gen.
+ # print(self._cache[eid])
+ # self.fc_gen[eid] = self._cache[eid]['fc_gen']
+ # fc_gen_val = list(self.fc_gen.values())
+ # fc_gen = fc_gen_val[0]
+ # print('+++++++++++++++++++++', fc_gen)
+ # out = yield self.mosaik.set_data({'fc-0': {'ctrl-0.ctrl_0': {'fc_gen': fc_gen}}})
+ return None
+
+ def get_data(self, outputs):
+ data = {}
+ for eid, attrs in outputs.items():
+ 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 == 'fc_gen':
+ data[eid][attr] = self._cache[eid]['fc_gen']
+
+ return data
+
+def main():
+ mosaik_api.start_simulation(FuelCellSim(), 'FuelCell Simulator')
+
+if __name__ == "__main__":
+ main()
diff --git a/raspi/Models/H2storage/__init__.py b/raspi/Models/H2storage/__init__.py
new file mode 100755
index 0000000..e69de29
diff --git a/raspi/Models/H2storage/h2storage_model.py b/raspi/Models/H2storage/h2storage_model.py
new file mode 100755
index 0000000..4b9cf0e
--- /dev/null
+++ b/raspi/Models/H2storage/h2storage_model.py
@@ -0,0 +1,134 @@
+# 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'] # an attribute
+ self.h2storage_soc_max = h2_set['h2storage_soc_max'] # an attribute
+ self.p_in = None
+ self.p_out = None
+ self.eff = 0.94 # approx efficiency of compressed hydrogen storage tanks. Roundtrip efficiency
+ self.max_h2 = h2_set['max_h2']
+ self.min_h2 = h2_set['min_h2']
+ self.capacity=h2_set['capacity']
+
+ def charge_h2(self, h2_in):
+
+ h2_flow = min(self.max_h2, h2_in) # kWh
+ if (h2_flow > 0) and (self.flag != 1):
+ self.h2discharge = h2_flow * self.eff # (+ve) We multiply it with efficiency because while charging we are not 100% efficient, so we should end up with less energy than incoming
+ h2_capacity = ((self.h2storage_soc_max - self.h2storage_soc) / 100) * self.capacity # gives amount of energy that can be stored in the battery
+ if self.h2storage_soc >= self.h2storage_soc_max:
+ self.flag = 1
+ self.h2out = 0
+ else:
+ if self.h2discharge <= h2_capacity:
+ h2_consumed = self.h2discharge
+ self.h2storage_soc = self.h2storage_soc + (self.h2discharge / self.capacity * 100)
+ # self.powerout = 0 # because we are consuming the incoming energy and nothing is going out
+ self.flag = 0 # Set flag as ready to discharge or charge
+ output_show = h2_flow # just for showing purpose that what ever is extra is being consumed while internally, a bit less is used to charge battery because of losses
+
+ else: # Fully-charge Case
+ h2_consumed = h2_capacity / self.eff # because to reach full soc, it needs more energy considering the losses. Since now we have the option to draw in more energy because it is surplus, we can do this, I think
+ h2_excess = self.h2discharge - h2_consumed
+ output_show = h2_consumed
+ # self.powerout = 0
+ # warn('\n Home Battery is fully discharged!! Cannot deliver more energy!')
+ self.h2storage_soc = self.h2storage_soc_max
+ self.flag = 1 # Set flag as 1 to show fully discharged state
+ elif (h2_flow == 0) and (self.flag == 1):
+ output_show = 0
+ self.h2storage_soc = round(self.h2storage_soc, 3)
+ re_params = {
+ # 'p_out': self.powerout,
+ 'h2_stored': output_show,
+ 'h2_given': 0,
+ 'h2storage_soc_min': self.h2storage_soc_min,
+ 'h2storagesoc_max': self.h2storage_soc_max,
+ # 'energy_drain': 0,
+ 'h2_soc': self.h2storage_soc,
+ 'mod': 1,
+ 'flag': self.flag}
+
+ return re_params
+
+ def discharge_h2(self, h2_out):
+ h2_flow = max(self.min_h2, h2_out) # kWh
+ if (h2_flow < 0) and (self.flag != -1):
+ self.h2discharge = h2_flow / self.eff # (+ve) We multiply it with efficiency because while charging we are not 100% efficient, so we should end up with less energy than incoming
+ h2_capacity = ((self.h2storage_soc_min - self.h2storage_soc) / 100) * self.capacity # gives amount of energy that can be stored in the battery
+ if self.h2storage_soc <= self.h2storage_soc_min:
+ self.flag = -1
+ self.h2out = 0
+ else:
+ if self.h2discharge > h2_capacity:
+ h2_given = self.h2discharge
+ self.h2storage_soc = self.h2storage_soc + (self.h2discharge / self.capacity * 100)
+ # self.powerout = 0 # because we are consuming the incoming energy and nothing is going out
+ self.flag = 0 # Set flag as ready to discharge or charge
+ output_show = h2_flow # just for showing purpose that what ever is extra is being consumed while internally, a bit less is used to charge battery because of losses
+
+ else: # Fully-discharge Case
+ h2_given = h2_capacity * self.eff
+ h2_excess = self.h2discharge - h2_given
+ output_show = h2_given
+ # self.powerout = 0
+ # warn('\n Home Battery is fully discharged!! Cannot deliver more energy!')
+ self.h2storage_soc = self.h2storage_soc_min
+ self.flag = -1 # Set flag as 1 to show fully discharged state
+ else:
+ output_show = 0
+ self.h2storage_soc = round(self.h2storage_soc, 3)
+ re_params = {
+ # 'p_out': self.powerout,
+ 'h2_stored': 0,
+ 'h2_given': output_show,
+ 'h2storage_soc_min': self.h2storage_soc_min,
+ 'h2storage_soc_max': self.h2storage_soc_max,
+ # 'energy_drain': 0,
+ 'h2_soc': self.h2storage_soc,
+ 'mod': 1,
+ 'flag': self.flag}
+
+ return re_params
+
+ def output_h2(self, h2_in, h2_out, soc): # charging power: positive; discharging power:negative
+ self.h2storage_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 h2_in == 0 and h2_out == 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.h2storage_soc >= self.h2storage_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.h2storage_soc <= self.h2storage_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 = {
+ # 'h2_out': 0,
+ 'h2_soc': self.h2storage_soc,
+ 'h2storage_soc_min': self.h2storage_soc_min,
+ 'h2storgae_soc_max': self.h2storage_soc_max,
+ 'h2_stored': 0,
+ 'h2_given': 0,
+ 'mod': 0,
+ 'flag': self.flag}
+ elif h2_out < 0: # discharge
+ re_params = self.discharge_h2(h2_out)
+
+ else:
+ re_params = self.charge_h2(h2_in)
+
+ return re_params
diff --git a/raspi/Models/H2storage/h2storage_mosaik.py b/raspi/Models/H2storage/h2storage_mosaik.py
new file mode 100755
index 0000000..7df7ccc
--- /dev/null
+++ b/raspi/Models/H2storage/h2storage_mosaik.py
@@ -0,0 +1,149 @@
+import mosaik_api
+#import H2storage.h2storage_model as hydrogen_storage
+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
+
+META = {
+ 'type': 'event-based',
+ # storage 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': {
+ 'compressed_hydrogen': {
+ 'public': True,
+ 'params': ['sim_start', 'initial_set', 'h2_set'],
+ 'attrs': ['h2storage_id',
+ 'h2_in', # in the python file this existed in the re_params.
+ 'h2_stored', # 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.
+ 'h2_soc', 'mod', 'flag', 'time', 'h2storage_soc_max', 'h2storage_soc_min', 'h2_given', 'h2_out'],
+ 'trigger': [],
+ },
+ },
+}
+
+class compressedhydrogen(mosaik_api.Simulator):
+ def __init__(self):
+ super().__init__(META)
+ self.eid_prefix = 'h2storage_' # 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
+ self.soc = {}
+ self.flag = {}
+ self.h2_stored = {}
+
+ 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, initial_set, h2_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)
+
+
+ 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': [], })
+ # print(self._entities)
+
+ 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 battery %%%%%%%%', current_time)
+ for eid, attrs in inputs.items():
+ # print(eid)
+ # print(attrs)
+
+ # In {'p_ask': {'CSVB-0.BATTEYP_0': 0.5}}, 'p_ask' is the attr, and 0.5 is vals
+ for attr, vals in attrs.items():
+ if attr == 'h2_in':
+ # of all the values present in the dictionary, we make a list out of it.
+ # the [0] means we are calling the 0th entity in that list
+ h2_in = list(vals.values())[0]
+ print('#hydrogen h2_in input:', h2_in)
+
+ elif attr == 'h2_out':
+ h2_out = list(vals.values())[0]
+
+
+ self._cache[eid] = self.entities[eid].output_h2(h2_in, h2_out, self.soc[eid])
+
+ self.soc[eid] = self._cache[eid]['h2_soc']
+ self.flag = self._cache[eid]['flag']
+ self.h2_stored[eid] = self._cache[eid]['h2_stored']
+ # print('h2 flag', self.flag)
+ print('------------------------->', self.h2_stored)
+ # yield self.mosaik.set_data(self._cache)
+
+ # self.battery_flag[eid]=self._cache[eid]['flag']
+ soc_val = list(self.soc.values())
+ h2_soc = soc_val[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({'H2storage-0': {'Controller-0.ctrl_0': {'h2_soc': h2_soc}}}) # this code is supposed to hold the soc value and
+
+ return None
+
+ 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 == '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 == 'h2_stored':
+ data[eid][attr] = self._cache[eid]['h2_stored']
+ elif attr == 'h2_given':
+ data[eid][attr] = self._cache[eid]['h2_given']
+ elif attr == 'h2_consumed':
+ data[eid][attr] = self._cache[eid]['h2_consumed']
+ # if eid in self._cache:
+ # data['time'] = self.time
+ # data.setdefault(eid, {})[attr] = self._cache[eid][attr]
+
+ return data
+
+
+def main():
+ mosaik_api.start_simulation(compressedhydrogen(), 'H2storage-Simulator')
+
+if __name__ == "__main__":
+ main()
+
diff --git a/raspi/Models/Load/__init__.py b/raspi/Models/Load/__init__.py
new file mode 100755
index 0000000..e69de29
diff --git a/raspi/Models/Load/load_model.py b/raspi/Models/Load/load_model.py
new file mode 100755
index 0000000..fc63a6b
--- /dev/null
+++ b/raspi/Models/Load/load_model.py
@@ -0,0 +1,18 @@
+class load_python():
+
+ def __init__(self, houses, output_type):
+ self.consumption = 0
+ self.houses = houses
+ self.output_type = output_type
+
+ 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)/4 # kWh
+
+ re_params = {'load_dem': self.consumption}
+ return re_params
diff --git a/raspi/Models/Load/load_mosaik.py b/raspi/Models/Load/load_mosaik.py
new file mode 100755
index 0000000..418fb7f
--- /dev/null
+++ b/raspi/Models/Load/load_mosaik.py
@@ -0,0 +1,89 @@
+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',],
+ '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.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):
+
+ 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():
+ # 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].demand(u) # not necessary to have u in brackets. It is not necessary to keep the same name as the one in python file
+ # print(self._cache)
+ return None
+
+ 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']
+ return data
+def main():
+ mosaik_api.start_simulation(loadSim(), 'load Simulator')
+
+if __name__ == "__main__":
+ main()
diff --git a/raspi/Models/PV/pv_model_new.py b/raspi/Models/PV/pv_model_new.py
new file mode 100755
index 0000000..4aa6820
--- /dev/null
+++ b/raspi/Models/PV/pv_model_new.py
@@ -0,0 +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()
+
diff --git a/raspi/Models/PV/pv_mosaik.py b/raspi/Models/PV/pv_mosaik.py
new file mode 100755
index 0000000..e619680
--- /dev/null
+++ b/raspi/Models/PV/pv_mosaik.py
@@ -0,0 +1,114 @@
+
+import itertools
+import mosaik_api
+#import PV.PV_model_new as PV_model_new
+try:
+ import Models.PV.pv_model_new as PV_model_new
+except ModuleNotFoundError:
+ import pv_model_new as PV_model_new
+else:
+ import Models.PV.pv_model_new as PV_model_new
+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_new.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/raspi/Models/Wind/Wind_model.py b/raspi/Models/Wind/Wind_model.py
new file mode 100755
index 0000000..5bd2a0e
--- /dev/null
+++ b/raspi/Models/Wind/Wind_model.py
@@ -0,0 +1,86 @@
+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):
+ 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.output_type = output_type
+ self.dia = diameter
+
+ # def windprofile(self):
+ # """ Assuming that the wind speed data is measured at 10m height, it will be changed to a height of 80m
+ # which is a general hub height of a wind turbine"""
+
+ # def noproduction(self, u):
+ # re_params = {'p_out': 0}
+ #
+ # return re_params
+
+
+ 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))
+
+ # radius = 27
+ air_density = 1.225
+
+ 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}
+ # return re_params
+ 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)
+ # if u == self.u_rated:
+ # p = (0.5 * (self.u_rated ** 3) * (math.pi * (radius ** 2.0)) * air_density * self.cp * 0.59)
+ # re_params = {'p_out': p}
+ # else:
+ # if u < self.u_cutin:
+ # re_params = self.noproduction(u)
+ # elif u > self.u_cutout:
+ # re_params = self.noproduction(u)
+ # elif
+ # else:
+ # re_params = self.production(u)
+ return re_params
+
diff --git a/raspi/Models/Wind/wind_mosaik.py b/raspi/Models/Wind/wind_mosaik.py
new file mode 100755
index 0000000..9f58cc1
--- /dev/null
+++ b/raspi/Models/Wind/wind_mosaik.py
@@ -0,0 +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()
diff --git a/raspi/Models/collector.py b/raspi/Models/collector.py
new file mode 100755
index 0000000..d6d26e0
--- /dev/null
+++ b/raspi/Models/collector.py
@@ -0,0 +1,81 @@
+import collections
+import pandas as pd
+import mosaik_api
+META = {
+ 'type': 'event-based',
+ 'models': {
+ 'Monitor': {
+ 'public': True,
+ 'any_inputs': True,
+ 'params': [],
+ 'attrs': [],
+ },
+ },
+}
+import wandb
+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,
+ date_format='%Y-%m-%d %H:%M:%S', output_file='Result/results.csv',
+ 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
+ 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')
+ 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})
+ #wandb.log({"time": time})
+ #wandb.log({"data": df['Wind-0.wind_0-wind_gen'][0]})
+ if self.results_show['write2csv']==True:
+ if time == 0:
+ df.to_csv(self.output_file, mode='w', header=True)
+ else:
+ df.to_csv(self.output_file, mode='a', header=False)
+
+ return None
+
+ 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 __name__ == '__main__':
+ mosaik_api.start_simulation(Collector())
diff --git a/raspi/Scenarios/load_data.txt b/raspi/Scenarios/load_data.txt
new file mode 100755
index 0000000..f2805f4
--- /dev/null
+++ b/raspi/Scenarios/load_data.txt
@@ -0,0 +1,35042 @@
+Load_data
+time,load
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diff --git a/raspi/Scenarios/pv_data_Rotterdam_NL-15min.txt b/raspi/Scenarios/pv_data_Rotterdam_NL-15min.txt
new file mode 100755
index 0000000..733f969
--- /dev/null
+++ b/raspi/Scenarios/pv_data_Rotterdam_NL-15min.txt
@@ -0,0 +1,35042 @@
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diff --git a/raspi/Scenarios/winddata_NL.txt b/raspi/Scenarios/winddata_NL.txt
new file mode 100755
index 0000000..f2914ba
--- /dev/null
+++ b/raspi/Scenarios/winddata_NL.txt
@@ -0,0 +1,34946 @@
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diff --git a/raspi/User guide.md b/raspi/User guide.md
new file mode 100755
index 0000000..0f3acea
--- /dev/null
+++ b/raspi/User guide.md
@@ -0,0 +1,128 @@
+# User Guide document
+## Configuration
+There are three methods to configurate the cases.
+1. Through provide `config.xml` and `connection.xml` files in the `Cases` folder. We provide an example in
+the `Resisential Case` folder. Then run `interpreter.py` file in `configuration` folder to set the case configuration.
+
+ The `config.xml` file is used to define the models in the case and where to
+ run the model. Here is an example of the information in the config.xml file.
+ It means we would like build only Wind and PV models in our simulation study.
+ The wind model is running and import from python file, and the PV model is running in another Raspi which ip address is ‘192.168.0.1’,
+ and the master get the pv model information from the port ’5123’.
+ ```
+ #'Wind' ,'python','Models.Wind.wind_mosaik:WindSim'
+ #'PV','connect', '192.168.0.1:5123'
+
+
+
+
+
+ 
+
+Then run the script 'readppt_connectionxml' to build the configuration.
+## Define models
+The model parameters, results presentation and real-time simulation are all set in the file `buildmodelse.py`.
+ ```
+ Battery_initialset = {'initial_soc': 20}
+ Battery_set = {'max_p': 500, 'min_p': -500, 'max_energy': 500,
+ 'charge_efficiency': 0.9, 'discharge_efficiency': 0.9,
+ 'soc_min': 10, 'soc_max': 90, 'flag': 0, 'resolution': 15} #p in kW
+ #Set flag as 1 to show fully discharged state; -1 show fully charged,0 show ready to charge and discharge
+
+ h2storage_initial = {'initial_soc': 20}
+ h2_set = {'h2storage_soc_min': 10, 'h2storage_soc_max': 90, 'max_h2': 200, 'min_h2': -200, 'flag': -1}
+ #max_h2 in kWh; flag as 1 to show fully discharged state; -1 show fully charged,0 show ready to charge and discharge
+
+ pv_panel_set ={'Module_area': 1.26, 'NOCT': 44, 'Module_Efficiency': 0.198, 'Irradiance_at_NOCT': 800,
+ 'Power_output_at_STC': 250}
+ pv_set={'m_tilt':14,'m_az':180,'cap':500000,'output_type':'power'}
+ # 'NOCT':degree celsius; 'Irradiance_at_NOCT':W/m2 This is the irradiance that falls on the panel under NOCT conditions
+ # Watts. Available in spec sheet of a module
+ load_set={'houses':200, 'output_type':'power'}
+
+ Wind_set={'p_rated':110, 'u_rated':10.3, 'u_cutin':2.8, 'u_cutout':25, 'cp':0.40, 'diameter':22, 'output_type':'power'}
+ # p_rated # kW power it generates at rated wind speed and above
+ # u_rated # m/s #windspeed it generates most power at
+ # u_cutin # m/s #below this wind speed no power generation
+ # u_cutout # m/s #above this wind speed no power generation. Blades are pitched
+ # cp # coefficient of performance of a turbine. Usually around0.40. Never more than 0.59
+ # powerout = 0 # output power at wind speed u
+ fuelcell_set={'eff':0.45}
+
+ electrolyser_set={'eff':0.60,'fc_eff':0.45,'resolution':15}
+
+ RESULTS_SHOW_TYPE={'write2csv':True, 'dashboard_show':True, 'Finalresults_show':True}
+ #'write2csv':True/Flause Write the results to csv file
+ # #'Realtime_show':True/Flause, show the results in dashboard
+ # 'Finalresults_show':True/Flause, show the results after finish the simulation
+
+ realtimefactor=0
+ #0 as soon as possible. 1/60 using 1 second simulate 1 mintes
+ ```
+## Simulation
+Run the `simulation creator.py` to create and run the simulation based on the provided case and scenario.
+If the user want to see the results shown in the dashboard, you need internet and sign up in [wandb software](https://wandb.ai/site).
+
+
+## Demos
+We build a case study as a demo to show how to use Illuminator to demonstrate this system at
+a general user level and verify the Illuminator’s performance. The demo include Households,
+PV panels, Wind generators, Battery and Hydrogen system
+to achieve electric power self-sufficiency. The controller’s
+algorithm in the case study runs in the Master RasPi, and
+the rest simulators are separately deployed in different Client
+RasPis.The data flow between the simulators is also shown in
+the figure. Based on the inputs, including the generated power
+from PV and Wind, the consuming power of households, and
+the state of charge (Soc) of the Battery and Hydrogen, the
+controller decides the power from the Battery and Fuel cell
+and the power to the Electrolyser. In the case study, we use
+simple logic to achieve self-sufficiency. If Battery has enough
+capacity for charging or discharging to achieve power balance,
+use the Battery first. If Battery doesn’t have enough capacity
+to achieve power balance, then use Electrolyser or Fuel cell
+to achieve power balance. All the input data are in file `Scenarios` and all the output data are in file `Result`.
+
+
+
+ 
+
+
diff --git a/raspi/case description.md b/raspi/case description.md
new file mode 100755
index 0000000..8b13789
--- /dev/null
+++ b/raspi/case description.md
@@ -0,0 +1 @@
+
diff --git a/raspi/configuration/build_configuration_xml.py b/raspi/configuration/build_configuration_xml.py
new file mode 100755
index 0000000..89011f2
--- /dev/null
+++ b/raspi/configuration/build_configuration_xml.py
@@ -0,0 +1,76 @@
+import pandas as pd
+
+
+# sim_config=[['Wind' ,'python','Wind.wind_mosaik:WindSim'],
+# ['PV' ,'python', 'PV.PV_mosaik:PvAdapter'],
+# ['Load','python', 'Load.load_mosaik:loadSim'],
+# ['Collector','python', 'collector:Collector'],
+# ['CSVB','python', 'mosaik_csvread:CSV'],
+# ['Controller','python', 'Controller.controller_mosaik:controlSim'],
+# ['Battery','python', 'Battery.battery_mosaik:BatteryholdSim'],
+# ['Electrolyser','python', 'Electrolyser.electrolyser_mosaik:ElectrolyserSim'],
+# ['H2storage','python', 'H2storage.h2storage_mosaik:compressedhydrogen'],
+# ['Fuelcell','python', 'Fuelcell.fuelcell_mosaik:FuelCellSim'],]
+sim_config=[['Wind' ,'connect','192.168.0.1:5123'],
+ ['PV' ,'connect','192.168.0.2:5123'],
+ ['Load','connect','192.168.0.3:5123'],
+ #['Battery','python','Models.Battery.battery_mosaik:BatteryholdSim'],
+ ['Battery','connect','192.168.0.4:5123'],
+ ['Collector','python', 'Models.collector:Collector'],
+ ['CSVB','python', 'mosaik_csv:CSV'],
+ ['Controller','python', 'Models.Controller.controller_mosaik:controlSim'],
+ #['H2storage','connect', '192.168.0.2:5123'],
+ #['PV','connect', '192.168.0.1:5123'],
+ ['Electrolyser','python', 'Models.Electrolyser.electrolyser_mosaik:ElectrolyserSim'],
+ ['H2storage','python', 'Models.H2storage.h2storage_mosaik:compressedhydrogen'],
+ ['Fuelcell','python', 'Models.Fuelcell.fuelcell_mosaik:FuelCellSim'],
+ ]
+sim_config_df=pd.DataFrame(sim_config, columns=['model','method','location'])
+sim_config_data=sim_config_df.to_xml()
+
+with open('config.xml','w') as file:
+ file.write(sim_config_data)
+# sim_config_ddf=pd.read_xml('config.xml')
+# sim_config={row[1]:{row[2]:row[3]}for row in sim_config_ddf.values}
+
+# tosh=sim_config_ddf[sim_config_ddf['method']=='connection']
+# #! /usr/bin/env python
+#
+# with open ('run.sh', 'w') as rsh:
+# rsh.write('''\
+# #! /bin/bash''')
+# for row in tosh.values:
+# rsh.write("\n"+"ssh illuminator@"+row[3]+"'./run"+row[1]+".sh'")
+connection=[['ctrl', 'battery', 'flow2b', 'async_requests=True'],
+ ['battery', 'monitor', 'p_out'],
+ ['battery', 'monitor', 'p_in'],
+ ['battery', 'monitor', 'mod'],
+ ['battery', 'monitor', 'flag'],
+ ['battery', 'monitor', 'soc'],
+ ['ctrl', 'monitor', 'flow2b'],
+ ['load[0]', 'ctrl', 'load_dem'],
+ ['load[0]', 'monitor', 'load_dem'],
+ ['pv[0]', 'ctrl', 'pv_gen'],
+ ['pv[0]', 'monitor', 'pv_gen'],
+ ['wind[0]', 'ctrl', 'wind_gen'],
+ ['wind[0]', 'monitor', 'wind_gen'],
+ ['ctrl', 'electrolyser', 'flow2e'],
+ ['electrolyser', 'h2storage', 'h2_gen', 'h2_in'],
+ ['h2storage', 'fuelcell', 'h2_given', 'h2_consume'],
+ ['ctrl', 'h2storage', 'h2_out', 'async_requests=True'],
+ ['ctrl', 'monitor', 'flow2e'],
+ ['ctrl', 'monitor', 'dump'],
+ ['electrolyser', 'monitor', 'h2_gen'],
+ ['h2storage', 'monitor', 'h2_stored'],
+ ['h2storage', 'monitor', 'h2_given'],
+ ['h2storage', 'monitor', 'h2_stored'],
+ ['h2storage', 'monitor', 'h2_soc'],
+ ['fuelcell', 'monitor', 'fc_gen']]
+try:
+ df=pd.DataFrame(connection, columns=['send','receive','message','more'])
+except ValueError:
+ df=pd.DataFrame(connection, columns=['send','receive','message'])
+data=df.to_xml()
+
+with open('connection.xml','w') as file:
+ file.write(data)
diff --git a/raspi/configuration/buildclientremoterun.py b/raspi/configuration/buildclientremoterun.py
new file mode 100755
index 0000000..5529fd8
--- /dev/null
+++ b/raspi/configuration/buildclientremoterun.py
@@ -0,0 +1,32 @@
+import socket, subprocess,re
+p=subprocess.Popen(["ifconfig"],stdout=subprocess.PIPE)
+ifc_resp=p.communicate()
+patt=re.compile(r'inet \d{3}\.\d{3}.\d{1,3}.\d{1,3}')
+resp=patt.findall(str(ifc_resp[0]))
+print(resp[0].replace('inet ',''))
+IPAddr=resp[0].replace('inet ','')
+
+
+# import socket
+# hostname=socket.gethostname()
+# IPAddr=socket.gethostbyname(hostname)
+# print("Your Computer Name is:"+hostname)
+# print("Your Computer IP Address is:"+IPAddr)
+models=['Battery','Controller','Electrolyser','H2storage','Load','PV','Wind','Fuelcell']
+#models=['Battery']
+for model in models:
+ with open('./configuration/runshfile/run'+model+'.sh', 'w') as rsh:
+ rsh.write("#! /bin/bash")
+ rsh.write("\n" + "cd /home/illuminator/Desktop/Final_illuminator/Models/"+model)
+ rsh.write("\npython "+model.lower()+'_mosaik.py '+IPAddr+':5123 --remote')
+
+# import socket
+# import fcntl
+# import struct
+# def get_ip_address(ifname):
+# s=socket.socket(socket.AF_INET,socket.SOCK_DGRAM)
+# return socket.inet_ntoa(fcntl.ioctl(s.fileno(),0x8915,
+# struct.pack('256s',ifname[:15]))[20:24])
+# get_ip_address('eth0')
+
+
diff --git a/raspi/configuration/buildmodelset.py b/raspi/configuration/buildmodelset.py
new file mode 100755
index 0000000..a75ddc5
--- /dev/null
+++ b/raspi/configuration/buildmodelset.py
@@ -0,0 +1,38 @@
+
+
+
+Battery_initialset = {'initial_soc': 20}
+Battery_set = {'max_p': 800, 'min_p': -800, 'max_energy': 800,
+ 'charge_efficiency': 0.9, 'discharge_efficiency': 0.9,
+ 'soc_min': 10, 'soc_max': 90, 'flag': 0, 'resolution': 15} #p in kW
+#Set flag as 1 to show fully discharged state; -1 show fully charged,0 show ready to charge and discharge
+
+h2storage_initial = {'initial_soc': 50}
+h2_set = {'h2storage_soc_min': 10, 'h2storage_soc_max': 90, 'max_h2': 500, 'min_h2': -500, 'flag': -1, 'capacity':50000}
+#max_h2 in kWh; flag as 1 to show fully discharged state; -1 show fully charged,0 show ready to charge and discharge
+
+pv_panel_set ={'Module_area': 1.26, 'NOCT': 44, 'Module_Efficiency': 0.198, 'Irradiance_at_NOCT': 800,
+ 'Power_output_at_STC': 250}
+pv_set={'m_tilt':14,'m_az':180,'cap':500,'output_type':'power'}
+# 'NOCT':degree celsius; 'Irradiance_at_NOCT':W/m2 This is the irradiance that falls on the panel under NOCT conditions
+# KW. Available in spec sheet of a module
+load_set={'houses':1000, 'output_type':'power'}
+
+Wind_set={'p_rated':300, 'u_rated':10.3, 'u_cutin':2.8, 'u_cutout':25, 'cp':0.40, 'diameter':22, 'output_type':'power'}
+# p_rated # kW power it generates at rated wind speed and above
+# u_rated # m/s #windspeed it generates most power at
+# u_cutin # m/s #below this wind speed no power generation
+# u_cutout # m/s #above this wind speed no power generation. Blades are pitched
+# cp # coefficient of performance of a turbine. Usually around0.40. Never more than 0.59
+# powerout = 0 # output power at wind speed u
+fuelcell_set={'eff':0.45}
+
+electrolyser_set={'eff':0.60,'fc_eff':0.45,'resolution':15}
+
+RESULTS_SHOW_TYPE={'write2csv':True, 'dashboard_show':False, 'Finalresults_show':True}
+#'write2csv':True/Flause Write the results to csv file
+# #'Realtime_show':True/Flause, show the results in dashboard
+# 'Finalresults_show':True/Flause, show the results after finish the simulation
+
+realtimefactor=0
+#0 as soon as possible. 1/60 using 1 second simulate 1 mintes
diff --git a/raspi/configuration/config.xml b/raspi/configuration/config.xml
new file mode 100755
index 0000000..74d7d31
--- /dev/null
+++ b/raspi/configuration/config.xml
@@ -0,0 +1,63 @@
+
+
+
+
+ 
+
+
+## Illuminator environment set up for a Raspberry Pi cluster
+1. [Install Raspberry pi OS using raspberry pi imager.](https://www.raspberrypi.com/software/)
+2. Set static IP address for the Raspberry Pi.
+ Use the following command from in terminal to open the dhcpcd.conf file:
+ ```
+ sudo nano /etc/dhcpcd.conf
+ ```
+ In the dhcpcd.conf file, find the information to change the IP address as static as following:
+ ```
+ interface etho
+ static ip_address=192.168.0.1/24#change the IP address as you want
+ ```
+ Finally reboot the Raspberry Pi through `sudo reboot` in the terminal.
+3. [Set leader RasPi to connect followers without password.](https://www.digitalocean.com/community/tutorials/how-to-set-up-ssh-keys-2)
+4. Install the required packages in the python.
+ ```
+ pandas
+ tk
+ python-csv
+ datetime
+ python-math
+ numpy
+ scipy
+ arrow
+ mosaik
+ mosaik_api
+ mosaik.util
+ wandb
+ matplotlib
+ ```
+5. Send the Illuminator package to all follower Raspberry Pis. Use the following command in the leader Raspberry Pi terminal to check the connection
+between leader and follower Raspberry Pis.
+ ```
+ ssh illuminator@ip #ip represent your follower IP address
+ ```
+6. Run the ‘buildcilentremoterun.py’ file at each follower and give all users execute permission to all the documents in “runshfile” in order
+to make sure the leader can access the follower model.
+ ```
+ chmod -R a+X *dir*
+ ```
+
+More detialed instructions are given in the [user guide document](User%20guide.md) and [model build up document](Models.md).
+## License & Contributing development
+Illuminator is available under a GNU Lesser General Public License (LGPL) license.
+The Illuminator team accepts contributions to the Illuminator source, test files, documentation, and other materials distributed with the program.
+If you are interested in contributing, please start there, and feel free to reach out to the team using illuminator@tudelft.nl. The Illuminator team does not take any responsibility for the damage or loss that this code might provide.
diff --git a/raspi/simulation creator.py b/raspi/simulation creator.py
new file mode 100755
index 0000000..f0d7692
--- /dev/null
+++ b/raspi/simulation creator.py
@@ -0,0 +1,196 @@
+import subprocess
+import pandas as pd
+import mosaik
+import mosaik.util
+import numpy as np
+import pandas as pd
+from mosaik.util import connect_many_to_one
+import time
+
+from configuration.buildmodelset import *
+
+sim_config_ddf=pd.read_xml('configuration/config.xml')
+sim_config={row[1]:{row[2]:row[3]}for row in sim_config_ddf.values}
+
+tosh=sim_config_ddf[sim_config_ddf['method']=='connect']
+#! /usr/bin/env python
+if not tosh.empty:
+ with open ('./configuration/runshfile/run.sh', 'w') as rsh:
+ rsh.write("#! /bin/bash")
+ for row in tosh.values:
+ rsh.write("\n"+"lxterminal -e ssh illuminator@"+row[3].replace(':5123',' ')+"'./Desktop/illuminatorclient/configuration/runshfile/run"+row[1]+".sh'&")
+
+ subprocess.run(['/bin/bash', '/home/illuminator/Desktop/Illuminator/configuration/runshfile/run.sh'])
+
+#time.sleep(60)
+connection=pd.read_xml('./configuration/connection.xml')
+
+
+if RESULTS_SHOW_TYPE['dashboard_show']==True:
+ #62f0da4aff384fd9b382b1d8057a128af9d102fe
+ import wandb
+ #wandb.login()
+ wandb.init(project="illuminator-project")
+ wandb.define_metric("custom_step")
+
+
+
+START_DATE = '2012-06-01 00:00:00'
+# START_DATE = '2012-06-30 23:45:00'
+end = 10* 24 * 3600 #last one interval is not computed
+
+WIND_DATA = 'Scenarios/winddata_NL.txt'
+Pv_DATA = 'Scenarios/pv_data_Rotterdam_NL-15min.txt' # solar data file ########################
+load_DATA = 'Scenarios/load_data.txt' #######################
+#set up the "world" of the scenario
+world = mosaik.World(sim_config, debug=True)
+
+models=pd.concat([connection["send"], connection["receive"]])
+models=models.drop_duplicates(keep='first', inplace=False)
+models.reset_index(drop=True, inplace=True)
+
+##############################start simulator
+Defined_models=pd.DataFrame()
+Defined_models['model']=pd.Series(['Wind','PV','Load',
+ 'Electrolyser','H2storage','Battery','Fuelcell'])
+number=[]
+for model in Defined_models['model']:
+ number.append(
+ int((models.str.startswith(model.lower())==True).sum())
+ )
+Defined_models['number']=number
+
+ctrlsim = world.start('Controller')
+ctrl = ctrlsim.Ctrl(sim_start=START_DATE, soc_min=Battery_set['soc_min'], soc_max=Battery_set['soc_max'],
+ h2_soc_min=h2_set['h2storage_soc_min'], h2_soc_max=h2_set['h2storage_soc_max'],
+ fc_eff=fuelcell_set['eff'])
+ #### the controller gives us just a basic value of power flow which needs to be there. so -ve or +ve
+collector = world.start('Collector', start_date=START_DATE,results_show=RESULTS_SHOW_TYPE)
+monitor = collector.Monitor()
+
+for model_i in Defined_models.iterrows():
+ if model_i[1]['model'] == 'PV':
+ solardata = world.start('CSVB', sim_start=START_DATE, datafile=Pv_DATA) # loading the data file to mosaik
+ pvsim = world.start('PV') # the name given to mosaik file while importing in scenario sim_config
+ # p_data = {'Module_area': 1.26, 'NOCT': 44, 'Module_Efficiency': 0.198, 'Irradiance_at_NOCT': 800,
+ # 'Power_output_at_STC': 250}
+ ## instantiating the pv model by giving the parameter values.
+ pv = pvsim.PVset.create(model_i[1]['number'], sim_start=START_DATE, panel_data=pv_panel_set,
+ m_tilt=pv_set['m_tilt'], m_az=pv_set['m_az'], cap=pv_set['cap'],
+ output_type=pv_set['output_type']) # cap in W
+ solarprofile_data = solardata.Solar_data.create(model_i[1]['number']) # instantiating an entity of the solar data file
+ for i in range(model_i[1]['number']):
+ world.connect(solarprofile_data[i], pv[i], 'G_Gh', 'G_Dh', 'G_Bn', 'Ta', 'hs', 'FF', 'Az')
+ elif model_i[1]['model'] == 'Wind':
+ WSdata = world.start('CSVB', sim_start=START_DATE, datafile=WIND_DATA) # loading the data file to mosaik
+ windsim = world.start('Wind') # the name you gave to the in sim_config above
+ wind = windsim.windmodel.create(model_i[1]['number'], sim_start=START_DATE,
+ p_rated=Wind_set['p_rated'], u_rated=Wind_set['u_rated'],
+ u_cutin=Wind_set['u_cutin'],u_cutout=Wind_set['u_cutout'],
+ cp=Wind_set['cp'],diameter=Wind_set['diameter'], output_type=Wind_set['output_type']) # p_rated in kW #Resolution here is in minutes
+ ## print(wind.full_id)
+ windspeed_data = WSdata.WS_datafile.create(model_i[1]['number']) # instantiating an entity of the wind data file
+ for i in range(model_i[1]['number']):
+ world.connect(windspeed_data[i], wind[i], 'u')
+
+ elif model_i[1]['model'] == 'Load':
+ loaddata = world.start('CSVB', sim_start=START_DATE, datafile=load_DATA) # loading the data file to mosaik
+ loadsim = world.start('Load') # the name you gave to the in sim_config above
+ load = loadsim.loadmodel.create(model_i[1]['number'], sim_start=START_DATE,
+ houses=load_set['houses'], output_type=load_set['output_type']) # loadmodel is the name we gave in the mosaik API file while writing META
+ load_data = loaddata.Load_data.create(model_i[1]['number']) # Load_data is the header in the txt file containing the load values.
+ for i in range(model_i[1]['number']):
+ world.connect(load_data[i], load[i], 'load')
+ elif model_i[1]['model'] == 'Battery':
+ #### no battery input data file as the input 'p_ask' comes from the controller. We connect the controller and the battery ahead.
+
+ batterysim = world.start('Battery') # the name you gave to the in sim_config above
+ #Battery_initialset = {'initial_soc': 20}
+ # Battery_set = {'max_p': 500, 'min_p': -500, 'max_energy': 500,
+ # 'charge_efficiency': 0.9, 'discharge_efficiency': 0.9,
+ # 'soc_min': 10, 'soc_max': 90, 'flag': -1, 'resolution': 15} # p in kW
+ battery = batterysim.Batteryset(sim_start=START_DATE, initial_set=Battery_initialset,
+ battery_set=Battery_set)
+ ## print(battery.full_id)
+ elif model_i[1]['model'] == 'Electrolyser':
+ electrosim = world.start('Electrolyser')
+ h2storagesim = world.start('H2storage')
+ fcsim = world.start('Fuelcell')
+ electrolyser = electrosim.electrolysermodel(sim_start=START_DATE, eff=electrolyser_set['eff'],
+ fc_eff=electrolyser_set['fc_eff'],
+ resolution=electrolyser_set['resolution']) # here resolution should be the same we have for the data sets for
+ ## wind and pv and load. Make sure to keep the same resolution all across
+
+ #h2storage_initial = {'initial_soc': 20}
+ #h2_set = {'h2storage_soc_min': 10, 'h2storage_soc_max': 90, 'max_h2': 200, 'min_h2': -200, 'flag': -1}
+ h2storage = h2storagesim.compressed_hydrogen(sim_start=START_DATE, initial_set=h2storage_initial,
+ h2_set=h2_set)
+ ##
+ fuelcell = fcsim.fuelcellmodel(sim_start=START_DATE, eff=fuelcell_set['eff'])
+for i, row in connection.iterrows():
+ try:
+ row['more']
+ except KeyError:
+ world.connect(eval(row['send']), eval(row['receive']), row['message'])
+ else:
+ if row['more']=='async_requests=True':
+ world.connect(eval(row['send']),eval(row['receive']),row['message'],async_requests=True)
+ elif row['more']==None:
+ world.connect(eval(row['send']), eval(row['receive']), row['message'])
+ else:
+ world.connect(eval(row['send']),eval(row['receive']),(row['message'],row['more']))
+if realtimefactor==0:
+ world.run(until=end)
+else:
+ world.run(until=end,rt_factor=realtimefactor)
+#################################final results show############################################
+if RESULTS_SHOW_TYPE['Finalresults_show']==True:
+ import matplotlib.pyplot as plt
+ import matplotlib
+ #matplotlib.use('TkAgg')
+ import pandas as pd
+
+ data=pd.read_csv('Result/results.csv')
+ # Get all axes of figure
+ fig= plt.figure()
+ fig.subplots_adjust(hspace=0.5,wspace = 0.5)
+ fig.suptitle('simulation results')
+ # Plot new data
+ ax1=fig.add_subplot(221)
+ try:
+ ax1.plot(data['PV-0.pv_0-pv_gen'])
+ except KeyError:
+ print('There is no PV model')
+ ax1.set_title('PV power')
+ ax1.set_xlabel('time')
+ ax1.set_ylabel('P [kW]')
+
+ ax2=fig.add_subplot(222)
+ try:
+ ax2.plot(data['Wind-0.wind_0-wind_gen'])
+ except KeyError:
+ print('There is no Wind model')
+ ax2.set_title('Wind power')
+ ax2.set_xlabel('time')
+ ax2.set_ylabel('P [kW]')
+
+ ax3=fig.add_subplot(223)
+ try:
+ ax3.plot(data['H2storage-0.h2storage_0-h2_soc'])
+ except KeyError:
+ print('There is no H2 model')
+ ax3.set_title('H2storage SOC')
+ ax3.set_xlabel('time')
+ ax3.set_ylabel('soc [%]')
+
+
+ ax4=fig.add_subplot(224)
+ try:
+ ax4.plot(data['Battery-0.Battery_0-soc'])
+ except KeyError:
+ print('There is no battery model')
+ ax4.set_title('Battery SOC')
+ ax4.set_xlabel('time')
+ ax4.set_ylabel('soc [%]')
+ plt.show()
+
\ No newline at end of file
diff --git a/raspi/wandb/run-20230614_114802-73y7s04e/files/conda-environment.yaml b/raspi/wandb/run-20230614_114802-73y7s04e/files/conda-environment.yaml
new file mode 100755
index 0000000..830a50f
--- /dev/null
+++ b/raspi/wandb/run-20230614_114802-73y7s04e/files/conda-environment.yaml
@@ -0,0 +1,402 @@
+name: base
+channels:
+ - conda-forge
+ - defaults
+dependencies:
+ - _ipyw_jlab_nb_ext_conf=0.1.0=py39haa95532_0
+ - alabaster=0.7.12=pyhd3eb1b0_0
+ - anaconda=2022.10=py39_0
+ - anaconda-client=1.11.0=py39haa95532_0
+ - anaconda-navigator=2.3.1=py39haa95532_0
+ - anaconda-project=0.11.1=py39haa95532_0
+ - anyio=3.5.0=py39haa95532_0
+ - appdirs=1.4.4=pyhd3eb1b0_0
+ - argon2-cffi=21.3.0=pyhd3eb1b0_0
+ - argon2-cffi-bindings=21.2.0=py39h2bbff1b_0
+ - arrow=1.2.2=pyhd3eb1b0_0
+ - astroid=2.11.7=py39haa95532_0
+ - astropy=5.1=py39h080aedc_0
+ - atomicwrites=1.4.0=py_0
+ - attrs=21.4.0=pyhd3eb1b0_0
+ - automat=20.2.0=py_0
+ - autopep8=1.6.0=pyhd3eb1b0_1
+ - babel=2.9.1=pyhd3eb1b0_0
+ - backcall=0.2.0=pyhd3eb1b0_0
+ - backports=1.1=pyhd3eb1b0_0
+ - backports.functools_lru_cache=1.6.4=pyhd3eb1b0_0
+ - backports.tempfile=1.0=pyhd3eb1b0_1
+ - backports.weakref=1.0.post1=py_1
+ - bcrypt=3.2.0=py39h2bbff1b_1
+ - beautifulsoup4=4.11.1=py39haa95532_0
+ - binaryornot=0.4.4=pyhd3eb1b0_1
+ - bitarray=2.5.1=py39h2bbff1b_0
+ - bkcharts=0.2=py39haa95532_1
+ - black=22.6.0=py39haa95532_0
+ - blas=1.0=mkl
+ - bleach=4.1.0=pyhd3eb1b0_0
+ - blosc=1.21.0=h19a0ad4_1
+ - bokeh=2.4.3=py39haa95532_0
+ - boto3=1.24.28=py39haa95532_0
+ - botocore=1.27.28=py39haa95532_0
+ - bottleneck=1.3.5=py39h080aedc_0
+ - brotli=1.0.9=h2bbff1b_7
+ - brotli-bin=1.0.9=h2bbff1b_7
+ - brotlipy=0.7.0=py39h2bbff1b_1003
+ - bzip2=1.0.8=he774522_0
+ - ca-certificates=2022.07.19=haa95532_0
+ - certifi=2022.9.14=py39haa95532_0
+ - cffi=1.15.1=py39h2bbff1b_0
+ - cfitsio=3.470=h2bbff1b_7
+ - chardet=4.0.0=py39haa95532_1003
+ - charls=2.2.0=h6c2663c_0
+ - charset-normalizer=2.0.4=pyhd3eb1b0_0
+ - click=8.0.4=py39haa95532_0
+ - cloudpickle=2.0.0=pyhd3eb1b0_0
+ - clyent=1.2.2=py39haa95532_1
+ - colorama=0.4.5=py39haa95532_0
+ - colorcet=3.0.0=py39haa95532_0
+ - comtypes=1.1.10=py39haa95532_1002
+ - conda=22.9.0=py39haa95532_0
+ - conda-build=3.22.0=py39haa95532_0
+ - conda-content-trust=0.1.3=py39haa95532_0
+ - conda-env=2.6.0=haa95532_1
+ - conda-pack=0.6.0=pyhd3eb1b0_0
+ - conda-package-handling=1.9.0=py39h8cc25b3_0
+ - conda-repo-cli=1.0.20=py39haa95532_0
+ - conda-token=0.4.0=pyhd3eb1b0_0
+ - conda-verify=3.4.2=py_1
+ - console_shortcut=0.1.1=4
+ - constantly=15.1.0=pyh2b92418_0
+ - cookiecutter=1.7.3=pyhd3eb1b0_0
+ - cryptography=37.0.1=py39h21b164f_0
+ - cssselect=1.1.0=pyhd3eb1b0_0
+ - curl=7.84.0=h2bbff1b_0
+ - cycler=0.11.0=pyhd3eb1b0_0
+ - cython=0.29.32=py39hd77b12b_0
+ - cytoolz=0.11.0=py39h2bbff1b_0
+ - daal4py=2021.6.0=py39h757b272_1
+ - dal=2021.6.0=h59b6b97_874
+ - dask=2022.7.0=py39haa95532_0
+ - dask-core=2022.7.0=py39haa95532_0
+ - dataclasses=0.8=pyh6d0b6a4_7
+ - datashader=0.14.1=py39haa95532_0
+ - datashape=0.5.4=py39haa95532_1
+ - debugpy=1.5.1=py39hd77b12b_0
+ - decorator=5.1.1=pyhd3eb1b0_0
+ - defusedxml=0.7.1=pyhd3eb1b0_0
+ - diff-match-patch=20200713=pyhd3eb1b0_0
+ - dill=0.3.4=pyhd3eb1b0_0
+ - distributed=2022.7.0=py39haa95532_0
+ - docutils=0.18.1=py39haa95532_3
+ - entrypoints=0.4=py39haa95532_0
+ - et_xmlfile=1.1.0=py39haa95532_0
+ - fftw=3.3.9=h2bbff1b_1
+ - filelock=3.6.0=pyhd3eb1b0_0
+ - flake8=4.0.1=pyhd3eb1b0_1
+ - flask=1.1.2=pyhd3eb1b0_0
+ - fonttools=4.25.0=pyhd3eb1b0_0
+ - freetype=2.10.4=hd328e21_0
+ - fsspec=2022.7.1=py39haa95532_0
+ - future=0.18.2=py39haa95532_1
+ - gensim=4.1.2=py39hd77b12b_0
+ - giflib=5.2.1=h62dcd97_0
+ - glob2=0.7=pyhd3eb1b0_0
+ - greenlet=1.1.1=py39hd77b12b_0
+ - h5py=3.7.0=py39h3de5c98_0
+ - hdf5=1.10.6=h1756f20_1
+ - heapdict=1.0.1=pyhd3eb1b0_0
+ - holoviews=1.15.0=py39haa95532_0
+ - hvplot=0.8.0=py39haa95532_0
+ - hyperlink=21.0.0=pyhd3eb1b0_0
+ - icc_rt=2022.1.0=h6049295_2
+ - icu=58.2=ha925a31_3
+ - idna=3.3=pyhd3eb1b0_0
+ - imagecodecs=2021.8.26=py39hc0a7faf_1
+ - imageio=2.19.3=py39haa95532_0
+ - imagesize=1.4.1=py39haa95532_0
+ - importlib-metadata=4.11.3=py39haa95532_0
+ - importlib_metadata=4.11.3=hd3eb1b0_0
+ - incremental=21.3.0=pyhd3eb1b0_0
+ - inflection=0.5.1=py39haa95532_0
+ - iniconfig=1.1.1=pyhd3eb1b0_0
+ - intake=0.6.5=pyhd3eb1b0_0
+ - intel-openmp=2021.4.0=haa95532_3556
+ - intervaltree=3.1.0=pyhd3eb1b0_0
+ - ipykernel=6.15.2=py39haa95532_0
+ - ipython=7.31.1=py39haa95532_1
+ - ipython_genutils=0.2.0=pyhd3eb1b0_1
+ - ipywidgets=7.6.5=pyhd3eb1b0_1
+ - isort=5.9.3=pyhd3eb1b0_0
+ - itemadapter=0.3.0=pyhd3eb1b0_0
+ - itemloaders=1.0.4=pyhd3eb1b0_1
+ - itsdangerous=2.0.1=pyhd3eb1b0_0
+ - jdcal=1.4.1=pyhd3eb1b0_0
+ - jedi=0.18.1=py39haa95532_1
+ - jellyfish=0.9.0=py39h2bbff1b_0
+ - jinja2=2.11.3=pyhd3eb1b0_0
+ - jinja2-time=0.2.0=pyhd3eb1b0_3
+ - jmespath=0.10.0=pyhd3eb1b0_0
+ - joblib=1.1.0=pyhd3eb1b0_0
+ - jpeg=9e=h2bbff1b_0
+ - jq=1.6=haa95532_1
+ - json5=0.9.6=pyhd3eb1b0_0
+ - jsonschema=4.16.0=py39haa95532_0
+ - jupyter=1.0.0=py39haa95532_8
+ - jupyter_client=7.3.4=py39haa95532_0
+ - jupyter_console=6.4.3=pyhd3eb1b0_0
+ - jupyter_core=4.11.1=py39haa95532_0
+ - jupyter_server=1.18.1=py39haa95532_0
+ - jupyterlab=3.4.4=py39haa95532_0
+ - jupyterlab_pygments=0.1.2=py_0
+ - jupyterlab_server=2.10.3=pyhd3eb1b0_1
+ - jupyterlab_widgets=1.0.0=pyhd3eb1b0_1
+ - keyring=23.4.0=py39haa95532_0
+ - kiwisolver=1.4.2=py39hd77b12b_0
+ - lazy-object-proxy=1.6.0=py39h2bbff1b_0
+ - lcms2=2.12=h83e58a3_0
+ - lerc=3.0=hd77b12b_0
+ - libaec=1.0.4=h33f27b4_1
+ - libarchive=3.6.1=hebabd0d_0
+ - libbrotlicommon=1.0.9=h2bbff1b_7
+ - libbrotlidec=1.0.9=h2bbff1b_7
+ - libbrotlienc=1.0.9=h2bbff1b_7
+ - libcurl=7.84.0=h86230a5_0
+ - libdeflate=1.8=h2bbff1b_5
+ - libiconv=1.16=h2bbff1b_2
+ - liblief=0.11.5=hd77b12b_1
+ - libpng=1.6.37=h2a8f88b_0
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diff --git a/raspi/wandb/run-20230614_114802-73y7s04e/files/config.yaml b/raspi/wandb/run-20230614_114802-73y7s04e/files/config.yaml
new file mode 100755
index 0000000..e5cff27
--- /dev/null
+++ b/raspi/wandb/run-20230614_114802-73y7s04e/files/config.yaml
@@ -0,0 +1,27 @@
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+
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diff --git a/raspi/wandb/run-20230614_114802-73y7s04e/files/requirements.txt b/raspi/wandb/run-20230614_114802-73y7s04e/files/requirements.txt
new file mode 100755
index 0000000..7dc85ce
--- /dev/null
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new file mode 100755
index 0000000..20cafed
--- /dev/null
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new file mode 100755
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+[0m[0m
\ No newline at end of file
diff --git a/raspi/wandb/run-20230614_120950-c08hh5vc/files/config.yaml b/raspi/wandb/run-20230614_120950-c08hh5vc/files/config.yaml
new file mode 100755
index 0000000..409ab29
--- /dev/null
+++ b/raspi/wandb/run-20230614_120950-c08hh5vc/files/config.yaml
@@ -0,0 +1,27 @@
+wandb_version: 1
+
+_wandb:
+ desc: null
+ value:
+ python_version: 3.8.16
+ cli_version: 0.15.3
+ is_jupyter_run: false
+ is_kaggle_kernel: false
+ start_time: 1686737390.952218
+ t:
+ 1:
+ - 55
+ 2:
+ - 55
+ 3:
+ - 7
+ - 23
+ 4: 3.8.16
+ 5: 0.15.3
+ 8:
+ - 3
+ - 5
+ m:
+ - 1: custom_step
+ 6:
+ - 3
diff --git a/raspi/wandb/run-20230614_120950-c08hh5vc/files/requirements.txt b/raspi/wandb/run-20230614_120950-c08hh5vc/files/requirements.txt
new file mode 100755
index 0000000..7dc85ce
--- /dev/null
+++ b/raspi/wandb/run-20230614_120950-c08hh5vc/files/requirements.txt
@@ -0,0 +1,57 @@
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+wheel==0.38.4
+win32-setctime==1.1.0
+zipp==3.15.0
\ No newline at end of file
diff --git a/raspi/wandb/run-20230614_120950-c08hh5vc/files/wandb-metadata.json b/raspi/wandb/run-20230614_120950-c08hh5vc/files/wandb-metadata.json
new file mode 100755
index 0000000..a2ce077
--- /dev/null
+++ b/raspi/wandb/run-20230614_120950-c08hh5vc/files/wandb-metadata.json
@@ -0,0 +1,36 @@
+{
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+ "python": "3.8.16",
+ "heartbeatAt": "2023-06-14T10:09:51.433593",
+ "startedAt": "2023-06-14T10:09:50.902097",
+ "docker": null,
+ "cuda": null,
+ "args": [],
+ "state": "running",
+ "program": "C:\\Users\\aihuifu\\OneDrive - Delft University of Technology\\illuminator\\Illuminator-code\\simulation creator.py",
+ "codePath": "simulation creator.py",
+ "host": "TUD259917",
+ "username": "aihuifu",
+ "executable": "C:\\Users\\aihuifu\\.conda\\envs\\conda_Illuminator\\python.exe",
+ "cpu_count": 4,
+ "cpu_count_logical": 8,
+ "cpu_freq": {
+ "current": 1803.0,
+ "min": 0.0,
+ "max": 2304.0
+ },
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+ "min": 0.0,
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+ }
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+ "disk": {
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+ "used": 158.65385818481445
+ },
+ "memory": {
+ "total": 15.668075561523438
+ }
+}
diff --git a/raspi/wandb/run-20230614_120950-c08hh5vc/files/wandb-summary.json b/raspi/wandb/run-20230614_120950-c08hh5vc/files/wandb-summary.json
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@@ -0,0 +1 @@
+{}
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index 0000000..6959c52
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diff --git a/raspi/wandb/run-20230614_121058-cipcojm0/files/conda-environment.yaml b/raspi/wandb/run-20230614_121058-cipcojm0/files/conda-environment.yaml
new file mode 100755
index 0000000..830a50f
--- /dev/null
+++ b/raspi/wandb/run-20230614_121058-cipcojm0/files/conda-environment.yaml
@@ -0,0 +1,402 @@
+name: base
+channels:
+ - conda-forge
+ - defaults
+dependencies:
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+ - alabaster=0.7.12=pyhd3eb1b0_0
+ - anaconda=2022.10=py39_0
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diff --git a/raspi/wandb/run-20230614_121058-cipcojm0/files/config.yaml b/raspi/wandb/run-20230614_121058-cipcojm0/files/config.yaml
new file mode 100755
index 0000000..9665913
--- /dev/null
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diff --git a/raspi/wandb/run-20230614_121058-cipcojm0/files/requirements.txt b/raspi/wandb/run-20230614_121058-cipcojm0/files/requirements.txt
new file mode 100755
index 0000000..7dc85ce
--- /dev/null
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new file mode 100755
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diff --git a/raspi/wandb/run-20230614_121221-zl5mewfe/files/conda-environment.yaml b/raspi/wandb/run-20230614_121221-zl5mewfe/files/conda-environment.yaml
new file mode 100755
index 0000000..830a50f
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\ No newline at end of file
diff --git a/raspi/wandb/run-20230614_121221-zl5mewfe/files/config.yaml b/raspi/wandb/run-20230614_121221-zl5mewfe/files/config.yaml
new file mode 100755
index 0000000..2857235
--- /dev/null
+++ b/raspi/wandb/run-20230614_121221-zl5mewfe/files/config.yaml
@@ -0,0 +1,27 @@
+wandb_version: 1
+
+_wandb:
+ desc: null
+ value:
+ python_version: 3.8.16
+ cli_version: 0.15.3
+ is_jupyter_run: false
+ is_kaggle_kernel: false
+ start_time: 1686737541.608264
+ t:
+ 1:
+ - 55
+ 2:
+ - 55
+ 3:
+ - 7
+ - 23
+ 4: 3.8.16
+ 5: 0.15.3
+ 8:
+ - 3
+ - 5
+ m:
+ - 1: custom_step
+ 6:
+ - 3
diff --git a/raspi/wandb/run-20230614_121221-zl5mewfe/files/requirements.txt b/raspi/wandb/run-20230614_121221-zl5mewfe/files/requirements.txt
new file mode 100755
index 0000000..7dc85ce
--- /dev/null
+++ b/raspi/wandb/run-20230614_121221-zl5mewfe/files/requirements.txt
@@ -0,0 +1,57 @@
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\ No newline at end of file
diff --git a/raspi/wandb/run-20230614_121221-zl5mewfe/files/wandb-metadata.json b/raspi/wandb/run-20230614_121221-zl5mewfe/files/wandb-metadata.json
new file mode 100755
index 0000000..5cea3de
--- /dev/null
+++ b/raspi/wandb/run-20230614_121221-zl5mewfe/files/wandb-metadata.json
@@ -0,0 +1,36 @@
+{
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+ "python": "3.8.16",
+ "heartbeatAt": "2023-06-14T10:12:22.132053",
+ "startedAt": "2023-06-14T10:12:21.582780",
+ "docker": null,
+ "cuda": null,
+ "args": [],
+ "state": "running",
+ "program": "C:\\Users\\aihuifu\\OneDrive - Delft University of Technology\\illuminator\\Illuminator-code\\simulation creator.py",
+ "codePath": "simulation creator.py",
+ "host": "TUD259917",
+ "username": "aihuifu",
+ "executable": "C:\\Users\\aihuifu\\.conda\\envs\\conda_Illuminator\\python.exe",
+ "cpu_count": 4,
+ "cpu_count_logical": 8,
+ "cpu_freq": {
+ "current": 1803.0,
+ "min": 0.0,
+ "max": 2304.0
+ },
+ "cpu_freq_per_core": [
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+ "min": 0.0,
+ "max": 2304.0
+ }
+ ],
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+ "used": 158.65260696411133
+ },
+ "memory": {
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+ }
+}
diff --git a/raspi/wandb/run-20230614_121221-zl5mewfe/files/wandb-summary.json b/raspi/wandb/run-20230614_121221-zl5mewfe/files/wandb-summary.json
new file mode 100755
index 0000000..dbff41f
--- /dev/null
+++ b/raspi/wandb/run-20230614_121221-zl5mewfe/files/wandb-summary.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/raspi/wandb/run-20230614_121221-zl5mewfe/run-zl5mewfe.wandb b/raspi/wandb/run-20230614_121221-zl5mewfe/run-zl5mewfe.wandb
new file mode 100755
index 0000000..7109ced
Binary files /dev/null and b/raspi/wandb/run-20230614_121221-zl5mewfe/run-zl5mewfe.wandb differ
diff --git a/raspi/wandb/run-20230614_155735-i50ezlju/files/config.yaml b/raspi/wandb/run-20230614_155735-i50ezlju/files/config.yaml
new file mode 100755
index 0000000..f1927c7
--- /dev/null
+++ b/raspi/wandb/run-20230614_155735-i50ezlju/files/config.yaml
@@ -0,0 +1,19 @@
+wandb_version: 1
+
+_wandb:
+ desc: null
+ value:
+ python_version: 3.9.2
+ cli_version: 0.15.4
+ is_jupyter_run: false
+ is_kaggle_kernel: false
+ start_time: 1686751055.728614
+ t:
+ 1:
+ - 55
+ 3:
+ - 23
+ 4: 3.9.2
+ 5: 0.15.4
+ 8:
+ - 5
diff --git a/raspi/wandb/run-20230614_155735-i50ezlju/run-i50ezlju.wandb b/raspi/wandb/run-20230614_155735-i50ezlju/run-i50ezlju.wandb
new file mode 100755
index 0000000..e69de29
diff --git a/raspi/wandb/run-20230614_155828-hjetrc6r/files/config.yaml b/raspi/wandb/run-20230614_155828-hjetrc6r/files/config.yaml
new file mode 100755
index 0000000..62ddeac
--- /dev/null
+++ b/raspi/wandb/run-20230614_155828-hjetrc6r/files/config.yaml
@@ -0,0 +1,26 @@
+wandb_version: 1
+
+_wandb:
+ desc: null
+ value:
+ python_version: 3.9.2
+ cli_version: 0.15.4
+ is_jupyter_run: false
+ is_kaggle_kernel: false
+ start_time: 1686751109.560361
+ t:
+ 1:
+ - 55
+ 2:
+ - 55
+ 3:
+ - 7
+ - 23
+ 4: 3.9.2
+ 5: 0.15.4
+ 8:
+ - 5
+ m:
+ - 1: custom_step
+ 6:
+ - 3
diff --git a/raspi/wandb/run-20230614_155828-hjetrc6r/files/requirements.txt b/raspi/wandb/run-20230614_155828-hjetrc6r/files/requirements.txt
new file mode 100755
index 0000000..3423d45
--- /dev/null
+++ b/raspi/wandb/run-20230614_155828-hjetrc6r/files/requirements.txt
@@ -0,0 +1,158 @@
+appdirs==1.4.4
+arandr==0.1.10
+argparse==1.4.0
+arrow==1.2.2
+astroid==2.5.1
+asttokens==2.0.4
+async-generator==1.10
+attrs==21.4.0
+automationhat==0.2.0
+beautifulsoup4==4.9.3
+blinker==1.4
+blinkt==0.1.2
+buttonshim==0.0.2
+cap1xxx==0.1.3
+certifi==2020.6.20
+chardet==4.0.0
+click==7.1.2
+colorama==0.4.4
+colorzero==1.1
+cryptography==3.3.2
+cupshelpers==1.0
+cycler==0.11.0
+dbus-python==1.2.16
+demjson==2.2.4
+distro==1.5.0
+docker-pycreds==0.4.0
+docopt==0.6.2
+docutils==0.16
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+gpiozero==1.6.2
+h11==0.13.0
+html5lib==1.1
+idna==2.10
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+jedi==0.18.0
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+jtutils==0.0.8
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+lazy-object-proxy==0.0.0
+leven==1.0.4
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+logilab-common==1.8.1
+lxml==4.6.3
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+matplotlib==3.5.2
+mccabe==0.6.1
+microdotphat==0.2.1
+mosaik-api==3.0.2
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+mosaik-pandapower==0.2.0
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+mosaik-web==0.4.0
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+mypy==0.812
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+networkx==2.8.3
+nose==1.3.7
+numba==0.55.2
+numpy==1.19.5
+oauthlib==3.1.0
+olefile==0.46
+outcome==1.1.0
+packaging==21.3
+pandapower==2.9.0
+pandas==1.4.2
+pantilthat==0.0.7
+parso==0.8.1
+pathtools==0.1.2
+pexpect==4.8.0
+pgzero==1.2
+phatbeat==0.1.1
+pianohat==0.1.0
+piglow==1.2.5
+pigpio==1.78
+pillow==8.1.2
+pip==20.3.4
+protobuf==4.23.2
+psutil==5.8.0
+pycairo==1.16.2
+pycups==2.0.1
+pygame==1.9.6
+pygments==2.7.1
+pygobject==3.38.0
+pyinotify==0.9.6
+pyjwt==1.7.1
+pylint==2.7.2
+pyopenssl==20.0.1
+pyparsing==3.0.9
+pyserial==3.5b0
+pysmbc==1.0.23
+pysocks==1.7.1
+python-apt==2.2.1
+python-csv==0.0.13
+python-dateutil==2.8.2
+python-math==0.0.1
+pytz==2022.1
+pyyaml==6.0
+rainbowhat==0.1.0
+reportlab==3.5.59
+requests-oauthlib==1.0.0
+requests==2.25.1
+responses==0.12.1
+roman==2.0.0
+rpi.gpio==0.7.0
+rtimulib==7.2.1
+scipy==1.8.1
+scrollphat==0.0.7
+scrollphathd==1.2.1
+seaborn==0.11.2
+selenium==4.2.0
+send2trash==1.6.0b1
+sense-hat==2.2.0
+sentry-sdk==1.25.1
+setproctitle==1.3.2
+setuptools==52.0.0
+simplejson==3.17.2
+simpy.io==0.2.3
+simpy==3.0.13
+six==1.16.0
+skywriter==0.0.7
+smmap==5.0.0
+sn3218==1.2.7
+sniffio==1.2.0
+sortedcontainers==2.4.0
+soupsieve==2.2.1
+spidev==3.5
+ssh-import-id==5.10
+thonny==3.3.14
+tk==0.1.0
+toml==0.10.1
+touchphat==0.0.1
+tqdm==4.64.0
+trio-websocket==0.9.2
+trio==0.21.0
+twython==3.8.2
+typed-ast==1.4.2
+typing-extensions==3.7.4.3
+unicornhathd==0.0.4
+urllib3==2.0.3
+wandb==0.15.4
+webencodings==0.5.1
+werkzeug==1.0.1
+wheel==0.34.2
+wrapt==1.12.1
+wsproto==1.1.0
+xlrd==2.0.1
+xmltodict==0.13.0
\ No newline at end of file
diff --git a/raspi/wandb/run-20230614_155828-hjetrc6r/files/wandb-metadata.json b/raspi/wandb/run-20230614_155828-hjetrc6r/files/wandb-metadata.json
new file mode 100755
index 0000000..7afaac9
--- /dev/null
+++ b/raspi/wandb/run-20230614_155828-hjetrc6r/files/wandb-metadata.json
@@ -0,0 +1,50 @@
+{
+ "os": "Linux-5.15.32-v8+-aarch64-with-glibc2.31",
+ "python": "3.9.2",
+ "heartbeatAt": "2023-06-14T13:58:32.322928",
+ "startedAt": "2023-06-14T13:58:28.866412",
+ "docker": null,
+ "cuda": null,
+ "args": [],
+ "state": "running",
+ "program": "-m thonny.plugins.cpython.__main__",
+ "host": "client",
+ "username": "illuminator",
+ "executable": "/usr/bin/python3",
+ "cpu_count": 4,
+ "cpu_count_logical": 4,
+ "cpu_freq": {
+ "current": 1400.0,
+ "min": 600.0,
+ "max": 1400.0
+ },
+ "cpu_freq_per_core": [
+ {
+ "current": 1400.0,
+ "min": 600.0,
+ "max": 1400.0
+ },
+ {
+ "current": 1400.0,
+ "min": 600.0,
+ "max": 1400.0
+ },
+ {
+ "current": 1400.0,
+ "min": 600.0,
+ "max": 1400.0
+ },
+ {
+ "current": 1400.0,
+ "min": 600.0,
+ "max": 1400.0
+ }
+ ],
+ "disk": {
+ "total": 14.473518371582031,
+ "used": 4.811492919921875
+ },
+ "memory": {
+ "total": 0.8884201049804688
+ }
+}
diff --git a/raspi/wandb/run-20230614_155828-hjetrc6r/files/wandb-summary.json b/raspi/wandb/run-20230614_155828-hjetrc6r/files/wandb-summary.json
new file mode 100755
index 0000000..df81b1f
--- /dev/null
+++ b/raspi/wandb/run-20230614_155828-hjetrc6r/files/wandb-summary.json
@@ -0,0 +1 @@
+{"Wind-0.wind_0-wind_gen": 19.279565378891444, "custom_step": 95.0, "_timestamp": 1686751238.0534115, "_runtime": 128.49305057525635, "_step": 1535, "PV-0.pv_0-pv_gen": 0.0, "Load-0.load_0-load_dem": 54.88861075, "Controller-0.ctrl_0-flow2b": 0, "Controller-0.ctrl_0-flow2e": 0, "Controller-0.ctrl_0-dump": 0, "Electrolyser-0.electro_0-h2_gen": 0, "Battery-0.Battery_0-p_out": 0, "Battery-0.Battery_0-p_in": 0, "Battery-0.Battery_0-mod": 0, "Battery-0.Battery_0-flag": -1, "Battery-0.Battery_0-soc": 10, "H2storage-0.h2storage_0-h2_given": -2.0084063943095627, "H2storage-0.h2storage_0-h2_stored": 0, "H2storage-0.h2storage_0-h2_soc": 49.942, "Fuelcell-0.fc_0-fc_gen": 8.902261342777136}
\ No newline at end of file
diff --git a/raspi/wandb/run-20230614_155828-hjetrc6r/run-hjetrc6r.wandb b/raspi/wandb/run-20230614_155828-hjetrc6r/run-hjetrc6r.wandb
new file mode 100755
index 0000000..d1939d6
Binary files /dev/null and b/raspi/wandb/run-20230614_155828-hjetrc6r/run-hjetrc6r.wandb differ
diff --git a/raspi/wandb/run-20230614_182017-b3i1unys/files/config.yaml b/raspi/wandb/run-20230614_182017-b3i1unys/files/config.yaml
new file mode 100755
index 0000000..36cf85a
--- /dev/null
+++ b/raspi/wandb/run-20230614_182017-b3i1unys/files/config.yaml
@@ -0,0 +1,19 @@
+wandb_version: 1
+
+_wandb:
+ desc: null
+ value:
+ python_version: 3.9.2
+ cli_version: 0.15.4
+ is_jupyter_run: false
+ is_kaggle_kernel: false
+ start_time: 1686759617.229297
+ t:
+ 1:
+ - 55
+ 3:
+ - 23
+ 4: 3.9.2
+ 5: 0.15.4
+ 8:
+ - 5
diff --git a/raspi/wandb/run-20230614_182017-b3i1unys/run-b3i1unys.wandb b/raspi/wandb/run-20230614_182017-b3i1unys/run-b3i1unys.wandb
new file mode 100755
index 0000000..e69de29
diff --git a/raspi/wandb/run-20230614_182107-x9lvo0wk/files/config.yaml b/raspi/wandb/run-20230614_182107-x9lvo0wk/files/config.yaml
new file mode 100755
index 0000000..386d04b
--- /dev/null
+++ b/raspi/wandb/run-20230614_182107-x9lvo0wk/files/config.yaml
@@ -0,0 +1,19 @@
+wandb_version: 1
+
+_wandb:
+ desc: null
+ value:
+ python_version: 3.9.2
+ cli_version: 0.15.4
+ is_jupyter_run: false
+ is_kaggle_kernel: false
+ start_time: 1686759667.903434
+ t:
+ 1:
+ - 55
+ 3:
+ - 23
+ 4: 3.9.2
+ 5: 0.15.4
+ 8:
+ - 5
diff --git a/raspi/wandb/run-20230614_182107-x9lvo0wk/run-x9lvo0wk.wandb b/raspi/wandb/run-20230614_182107-x9lvo0wk/run-x9lvo0wk.wandb
new file mode 100755
index 0000000..e69de29
+