#6 include reduced power function

data/configs/run_bvg_test.cfg

@@ -0,0 +1,134 @@
+# Configs for the eBus Toolbox
+
+##### INPUT/OUTPUT FILES AND PATHS #####
+
+# Input file containing trip information (required)
+input_schedule = "./data/bvg_test/export_line100.csv"
+
+# output path for scenario.json -- called input since its input for spiceev
+output_directory = "./data/sim_outputs/"
+
+# electrified stations (defaults to: data/examples/electrified_stations.json)
+electrified_stations = "data/bvg_test/electrified_stations.json"
+
+# vehicle types (defaults to: ./data/examples/vehicle_types.json)
+vehicle_types = "./data/bvg_test/vehicle_types.json"
+
+
+##### SIMULATION HYPERPARAMETERS ##### 
+# set random seed (for always random: set seed = null)
+seed = 1
+
+# number of interations for the adjustment of charging types (default:1)
+iterations = 5
+
+# set length of timestep in minutes (default: 15 minute intervals)
+interval = 1
+
+# time difference between signal time and actual start time of a vehicle event im min. (default: 10)
+signal_time_dif = 10
+
+
+##### SIMULATION CONDITIONS AND BOUNDARIES ##### 
+
+# maximum number of days to simulate, if not set simulate entire schedule
+#days = 10
+
+# set minimum allowed state of charge when leaving (default: 0.8)
+desired_soc = 1
+save_timeseries = "timeseries.csv"
+save_results = "results.json"
+save_soc = "soc.csv"
+
+
+# Preferred charging type. Options: depb, oppb (default: depb)
+preferred_charging_type = "depb"
+
+# min charging time at opp station [minutes] (default: 2)
+min_charging_time_opps = 0
+
+# buffer time at opp station if no specific buffer time is provided 
+# via the electrified_stations.json [minutes] (default: 1)
+# Time specific buffer times can be set via a dict like:
+# {"10-22": 5, "else": 2} NOTE: else clause is a MUST!
+# The buffer time is deducted off of the planned standing time. 
+# It may resemble things like delays and/or docking procedures
+default_buffer_time_opps = {"7-10": 2, "14-18": 3, "else": 0}
+
+
+##### PHYSICAL SETUP OF ENVIRONMENT #####
+
+# minimum fraction of capacity for recharge when leaving the depot. Helps calculating the minimum standing time at depot. Between 0 - 1. (default: 1)
+min_recharge_deps_oppb = 1
+min_recharge_deps_depb = 1
+
+# max power of grid connectors at depot and opp stations
+# default: Sum of max power of all charging stations at this grid connector
+gc_power_opps = 100000
+gc_power_deps = 100000
+
+# max power of charging station at depot and opp stations
+# at depot stations opp and depot busses have distinct charging stations (all default to: 150)
+cs_power_opps = 400
+cs_power_deps_depb = 150
+cs_power_deps_oppb = 150
+
+# define hours of traffic_jam (options are "stop&go" and "dense")
+#rush_hour = {"stop&go": [["07:00", "09:00"], ["15:00", "17:00"]], "dense": [["17:00", "19:00"]]}
+
+# set stationary batteries [capacity, C-Rate]
+# battery with capacity = 75 kWh and C-Rate = 0.5
+#battery = [[50, 1]]
+
+# 2 batteries with capacity = 50 kWh, C-Rate = 1, grid_connector = "Betriebshof A")
+#battery = [[50, 1, "Station-0"]]
+
+# unlimited battery capacity with constant (dis)charge of 50 kWh
+#battery = [[-1, 50]]
+
+
+##### TIMESERIES #####
+
+# list of external load timeseries (in this example in same directory as resulting json) and
+# grid connector at which the timeseries shall be applied
+# e.g. [["timeseries_1_path", "gc_name_1"], ["timeseries_2_path", "gc_name_2"]]
+#include_ext_load_csv = [["Building-20210705-20210719.csv", "Betriebshof A"]]
+
+# options for external load CSV (options are used for all files specified above):
+# set CSV column name, timestep duration in sec. (example: 10 min) and factor (example: input in Watt)
+#include_ext_csv_option = [["column", "value"], ["step_duration_s", 600], ["factor", 0.001]]
+
+# local feed in timeseries (in this example in subdirectory "timeseries" - relative to resulting json) and
+# grid connector at which the timeseries shall be applied
+# e.g. [["timeseries_1_path", "gc_name_1"], ["timeseries_2_path", "gc_name_2"]]
+#include_feed_in_csv = [["timeseries/feed_in.csv", "Betriebshof A"]]
+
+# options for feed in CSV (options are used for all files specified above):
+# set CSV column name, timestep duration in sec. (example: 1 hour) and factor (example: input in Watt)
+#include_feed_in_csv_option = [["column", "value"], ["step_duration_s", 3600], ["factor", 1]]
+
+# energy price timeseries in EUR/kWh (in this example in parent directory - relative to resulting json) and
+# grid connector at which the timeseries shall be applied
+# e.g. [["timeseries_1_path", "gc_name_1"], ["timeseries_2_path", "gc_name_2"]]
+#include_price_csv = [["../energy_price.csv", "Betriebshof A"]]
+
+# options for price CSV (options are used for all files specified above):
+# set CSV column name and timestep duration in sec. (example: 6 hours)
+#include_price_csv_option = [["column", "value"], ["step_duration_s", 21600]]
+# for more options, see https://github.com/rl-institut/spice_ev/wiki/Command-line-options#csv-file-options
+
+
+########### SPICE_EV SIMULATE PARAMETERS ###############
+
+strategy = distributed
+# possible strategies: greedy, balanced, balanced_market, schedule, flex_window
+# options: LOAD_STRAT (sub-strategy for some strategies), CONCURRENCY [-], HORIZON [h], PRICE_THRESHOLD [€]
+strategy_option = [["CONCURRENCY", 1.0], ["PRICE_THRESHOLD", 0.001], ["ALLOW_NEGATIVE_SOC", 1]]
+
+# show plots after simulation
+visual = false
+
+# give margin for desired SoC [0.0 - 1.0]
+# margin = 0.1 -> simulation will not abort if vehicles reach at least 90% of the desired SoC before leaving.
+# margin = 1.0 -> simulation continues with every positive SoC value, but may fail if trips can not be completed.
+margin = 1.0

ebus_toolbox/sensitivity_analysis.py

@@ -91,19 +91,23 @@ def get_temperature():
 # cs_power_opps, cs_power_deps_depb, cs_power_deps_oppb (Technik)
 
 # cs_power_opps
-power_opps = np.arange(start=50, stop=350, step=50)
-reduced_power = random.choice(power_opps)
 
+def reduced_power():
+    "creates list of different values which are smaller then the default power "
+    power_opps = np.arange(start=50, stop=350, step=50)
+    reduced_power_opps = random.choice(power_opps)
 
-# cs_power_deps_depb
-power_deps_depb = np.arange(start=30, stop=90, step=30)
-reduced_power = random.choice(power_deps_depb)
 
+    # cs_power_deps_depb
+    power_deps_depb = np.arange(start=30, stop=90, step=30)
+    reduced_power_depb = random.choice(power_deps_depb)
 
-# cs_power_deps_depb
-power_deps_depb = np.arange(start=30, stop=120, step=30)
-reduced_power = random.choice(power_deps_depb)
 
+    # cs_power_deps_depb
+    power_deps_oppb = np.arange(start=30, stop=120, step=30)
+    reduced_power_oppb = random.choice(power_deps_depb)
+
+    return reduced_power_opps, reduced_power_depb, reduced_power_oppb
 
 # 4. network utilization
 # gc_power_opps, gc_power_deps (Netzauslastung)