diff --git a/rest simulation/run runme_21.py b/rest simulation/run runme_21.py
new file mode 100644
index 0000000000000000000000000000000000000000..e31b6e2238d8303fdb5fc8d9cf6af7987f141f76
--- /dev/null
+++ b/rest simulation/run runme_21.py
@@ -0,0 +1,52 @@
+"""
+This script is to run scenarios automatically
+"""
+
+import os
+import datetime
+import pandas as pd
+from runme import run_V2X_scenario
+
+
+def run_different_scenarios():
+ battery_size = [40] # 18.4, 22, 30 are too small for driving consumption
+ charging_power = [3.7]
+ strategies = [ # 'V2X_PS_',
+ # 'V2X_V2H_PS_',
+ # 'V2X_V2H_PS_FCR_aFRR_SMT_',
+ 'V2X_PS_FCR_aFRR_SMT_'
+ ]
+
+ file_path = '../input_files/models/prosumer_models/V2X_jfu/'
+ file_name = 'components.csv'
+ new_file_name = 'components2.csv'
+ components_df = pd.read_csv(r'' + file_path + file_name, index_col=False)
+
+ # run different parameters
+ for bat in battery_size:
+ for power in charging_power:
+ components_df.loc[components_df['name'] == 'battery', 'min_size'] = bat
+ components_df.loc[components_df['name'] == 'battery', 'max_size'] = bat
+ components_df.loc[components_df['name'] == 'inv_bat', 'min_size'] = power
+ components_df.loc[components_df['name'] == 'inv_bat', 'max_size'] = power
+ components_df.to_csv(file_path + new_file_name, index=False)
+ os.remove(file_path + file_name)
+ os.rename(file_path + new_file_name, file_path + file_name)
+
+ #run different weeks
+ t_starts = []
+ start_date = datetime.datetime(2022, 1, 1) # start from the second week
+ days_to_first_monday = (7 - start_date.weekday()) % 7
+ monday_start = start_date + datetime.timedelta(days=days_to_first_monday)
+ # ********************* 2022 *********************************************************
+ while monday_start.year == 2022:
+ t_starts.append(monday_start.strftime('%Y-%m-%d %H:%M:%S'))
+ monday_start += datetime.timedelta(days=7)
+
+ #for t_start_str in t_starts:
+ for strategy in strategies:
+ t_start = pd.Timestamp('2022-07-04 00:00:00')
+ run_V2X_scenario(bat, power, t_start, strategy)
+
+
+run_different_scenarios()
\ No newline at end of file
diff --git a/rest simulation/run runme_22.py b/rest simulation/run runme_22.py
new file mode 100644
index 0000000000000000000000000000000000000000..91c27ca53258144871ff0f7258e8bfc15c6863c4
--- /dev/null
+++ b/rest simulation/run runme_22.py
@@ -0,0 +1,52 @@
+"""
+This script is to run scenarios automatically
+"""
+
+import os
+import datetime
+import pandas as pd
+from runme import run_V2X_scenario
+
+
+def run_different_scenarios():
+ battery_size = [40] # 18.4, 22, 30 are too small for driving consumption
+ charging_power = [11]
+ strategies = [ # 'V2X_PS_',
+ # 'V2X_V2H_PS_',
+ # 'V2X_V2H_PS_FCR_aFRR_SMT_',
+ 'V2X_PS_FCR_aFRR_SMT_'
+ ]
+
+ file_path = '../input_files/models/prosumer_models/V2X_jfu/'
+ file_name = 'components.csv'
+ new_file_name = 'components2.csv'
+ components_df = pd.read_csv(r'' + file_path + file_name, index_col=False)
+
+ # run different parameters
+ for bat in battery_size:
+ for power in charging_power:
+ components_df.loc[components_df['name'] == 'battery', 'min_size'] = bat
+ components_df.loc[components_df['name'] == 'battery', 'max_size'] = bat
+ components_df.loc[components_df['name'] == 'inv_bat', 'min_size'] = power
+ components_df.loc[components_df['name'] == 'inv_bat', 'max_size'] = power
+ components_df.to_csv(file_path + new_file_name, index=False)
+ os.remove(file_path + file_name)
+ os.rename(file_path + new_file_name, file_path + file_name)
+
+ #run different weeks
+ t_starts = []
+ start_date = datetime.datetime(2022, 1, 1) # start from the second week
+ days_to_first_monday = (7 - start_date.weekday()) % 7
+ monday_start = start_date + datetime.timedelta(days=days_to_first_monday)
+ # ********************* 2022 *********************************************************
+ while monday_start.year == 2022:
+ t_starts.append(monday_start.strftime('%Y-%m-%d %H:%M:%S'))
+ monday_start += datetime.timedelta(days=7)
+
+ #for t_start_str in t_starts:
+ for strategy in strategies:
+ t_start = pd.Timestamp('2022-07-04 00:00:00')
+ run_V2X_scenario(bat, power, t_start, strategy)
+
+
+run_different_scenarios()
\ No newline at end of file
diff --git a/rest simulation/run runme_23.py b/rest simulation/run runme_23.py
new file mode 100644
index 0000000000000000000000000000000000000000..6f1ebcb0c17d6ce5b3b6e684da7f482f69a2ebaa
--- /dev/null
+++ b/rest simulation/run runme_23.py
@@ -0,0 +1,52 @@
+"""
+This script is to run scenarios automatically
+"""
+
+import os
+import datetime
+import pandas as pd
+from runme import run_V2X_scenario
+
+
+def run_different_scenarios():
+ battery_size = [40] # 18.4, 22, 30 are too small for driving consumption
+ charging_power = [22]
+ strategies = [ # 'V2X_PS_',
+ # 'V2X_V2H_PS_',
+ # 'V2X_V2H_PS_FCR_aFRR_SMT_',
+ 'V2X_PS_FCR_aFRR_SMT_'
+ ]
+
+ file_path = '../input_files/models/prosumer_models/V2X_jfu/'
+ file_name = 'components.csv'
+ new_file_name = 'components2.csv'
+ components_df = pd.read_csv(r'' + file_path + file_name, index_col=False)
+
+ # run different parameters
+ for bat in battery_size:
+ for power in charging_power:
+ components_df.loc[components_df['name'] == 'battery', 'min_size'] = bat
+ components_df.loc[components_df['name'] == 'battery', 'max_size'] = bat
+ components_df.loc[components_df['name'] == 'inv_bat', 'min_size'] = power
+ components_df.loc[components_df['name'] == 'inv_bat', 'max_size'] = power
+ components_df.to_csv(file_path + new_file_name, index=False)
+ os.remove(file_path + file_name)
+ os.rename(file_path + new_file_name, file_path + file_name)
+
+ #run different weeks
+ t_starts = []
+ start_date = datetime.datetime(2022, 1, 1) # start from the second week
+ days_to_first_monday = (7 - start_date.weekday()) % 7
+ monday_start = start_date + datetime.timedelta(days=days_to_first_monday)
+ # ********************* 2022 *********************************************************
+ while monday_start.year == 2022:
+ t_starts.append(monday_start.strftime('%Y-%m-%d %H:%M:%S'))
+ monday_start += datetime.timedelta(days=7)
+
+ #for t_start_str in t_starts:
+ for strategy in strategies:
+ t_start = pd.Timestamp('2022-07-04 00:00:00')
+ run_V2X_scenario(bat, power, t_start, strategy)
+
+
+run_different_scenarios()
\ No newline at end of file
diff --git a/rest simulation/run runme_24.py b/rest simulation/run runme_24.py
new file mode 100644
index 0000000000000000000000000000000000000000..96fc77b46450c17f60e81f2bb70f84195a36518a
--- /dev/null
+++ b/rest simulation/run runme_24.py
@@ -0,0 +1,52 @@
+"""
+This script is to run scenarios automatically
+"""
+
+import os
+import datetime
+import pandas as pd
+from runme import run_V2X_scenario
+
+
+def run_different_scenarios():
+ battery_size = [60] # 18.4, 22, 30 are too small for driving consumption
+ charging_power = [3.7]
+ strategies = [ # 'V2X_PS_',
+ # 'V2X_V2H_PS_',
+ # 'V2X_V2H_PS_FCR_aFRR_SMT_',
+ 'V2X_PS_FCR_aFRR_SMT_'
+ ]
+
+ file_path = '../input_files/models/prosumer_models/V2X_jfu/'
+ file_name = 'components.csv'
+ new_file_name = 'components2.csv'
+ components_df = pd.read_csv(r'' + file_path + file_name, index_col=False)
+
+ # run different parameters
+ for bat in battery_size:
+ for power in charging_power:
+ components_df.loc[components_df['name'] == 'battery', 'min_size'] = bat
+ components_df.loc[components_df['name'] == 'battery', 'max_size'] = bat
+ components_df.loc[components_df['name'] == 'inv_bat', 'min_size'] = power
+ components_df.loc[components_df['name'] == 'inv_bat', 'max_size'] = power
+ components_df.to_csv(file_path + new_file_name, index=False)
+ os.remove(file_path + file_name)
+ os.rename(file_path + new_file_name, file_path + file_name)
+
+ #run different weeks
+ t_starts = []
+ start_date = datetime.datetime(2022, 1, 1) # start from the second week
+ days_to_first_monday = (7 - start_date.weekday()) % 7
+ monday_start = start_date + datetime.timedelta(days=days_to_first_monday)
+ # ********************* 2022 *********************************************************
+ while monday_start.year == 2022:
+ t_starts.append(monday_start.strftime('%Y-%m-%d %H:%M:%S'))
+ monday_start += datetime.timedelta(days=7)
+
+ #for t_start_str in t_starts:
+ for strategy in strategies:
+ t_start = pd.Timestamp('2022-07-04 00:00:00')
+ run_V2X_scenario(bat, power, t_start, strategy)
+
+
+run_different_scenarios()
\ No newline at end of file
diff --git a/rest simulation/run runme_25.py b/rest simulation/run runme_25.py
new file mode 100644
index 0000000000000000000000000000000000000000..1815b4696c2af003a88adf32b191598bec8a0c4a
--- /dev/null
+++ b/rest simulation/run runme_25.py
@@ -0,0 +1,52 @@
+"""
+This script is to run scenarios automatically
+"""
+
+import os
+import datetime
+import pandas as pd
+from runme import run_V2X_scenario
+
+
+def run_different_scenarios():
+ battery_size = [60] # 18.4, 22, 30 are too small for driving consumption
+ charging_power = [22]
+ strategies = [ # 'V2X_PS_',
+ # 'V2X_V2H_PS_',
+ # 'V2X_V2H_PS_FCR_aFRR_SMT_',
+ 'V2X_PS_FCR_aFRR_SMT_'
+ ]
+
+ file_path = '../input_files/models/prosumer_models/V2X_jfu/'
+ file_name = 'components.csv'
+ new_file_name = 'components2.csv'
+ components_df = pd.read_csv(r'' + file_path + file_name, index_col=False)
+
+ # run different parameters
+ for bat in battery_size:
+ for power in charging_power:
+ components_df.loc[components_df['name'] == 'battery', 'min_size'] = bat
+ components_df.loc[components_df['name'] == 'battery', 'max_size'] = bat
+ components_df.loc[components_df['name'] == 'inv_bat', 'min_size'] = power
+ components_df.loc[components_df['name'] == 'inv_bat', 'max_size'] = power
+ components_df.to_csv(file_path + new_file_name, index=False)
+ os.remove(file_path + file_name)
+ os.rename(file_path + new_file_name, file_path + file_name)
+
+ #run different weeks
+ t_starts = []
+ start_date = datetime.datetime(2022, 1, 1) # start from the second week
+ days_to_first_monday = (7 - start_date.weekday()) % 7
+ monday_start = start_date + datetime.timedelta(days=days_to_first_monday)
+ # ********************* 2022 *********************************************************
+ while monday_start.year == 2022:
+ t_starts.append(monday_start.strftime('%Y-%m-%d %H:%M:%S'))
+ monday_start += datetime.timedelta(days=7)
+
+ #for t_start_str in t_starts:
+ for strategy in strategies:
+ t_start = pd.Timestamp('2022-07-04 00:00:00')
+ run_V2X_scenario(bat, power, t_start, strategy)
+
+
+run_different_scenarios()
\ No newline at end of file
diff --git a/rest simulation/run runme_26.py b/rest simulation/run runme_26.py
new file mode 100644
index 0000000000000000000000000000000000000000..f177929301c52e472215c9160f575396c1b9f1b2
--- /dev/null
+++ b/rest simulation/run runme_26.py
@@ -0,0 +1,52 @@
+"""
+This script is to run scenarios automatically
+"""
+
+import os
+import datetime
+import pandas as pd
+from runme import run_V2X_scenario
+
+
+def run_different_scenarios():
+ battery_size = [80] # 18.4, 22, 30 are too small for driving consumption
+ charging_power = [11]
+ strategies = [ # 'V2X_PS_',
+ # 'V2X_V2H_PS_',
+ # 'V2X_V2H_PS_FCR_aFRR_SMT_',
+ 'V2X_PS_FCR_aFRR_SMT_'
+ ]
+
+ file_path = '../input_files/models/prosumer_models/V2X_jfu/'
+ file_name = 'components.csv'
+ new_file_name = 'components2.csv'
+ components_df = pd.read_csv(r'' + file_path + file_name, index_col=False)
+
+ # run different parameters
+ for bat in battery_size:
+ for power in charging_power:
+ components_df.loc[components_df['name'] == 'battery', 'min_size'] = bat
+ components_df.loc[components_df['name'] == 'battery', 'max_size'] = bat
+ components_df.loc[components_df['name'] == 'inv_bat', 'min_size'] = power
+ components_df.loc[components_df['name'] == 'inv_bat', 'max_size'] = power
+ components_df.to_csv(file_path + new_file_name, index=False)
+ os.remove(file_path + file_name)
+ os.rename(file_path + new_file_name, file_path + file_name)
+
+ #run different weeks
+ t_starts = []
+ start_date = datetime.datetime(2022, 1, 1) # start from the second week
+ days_to_first_monday = (7 - start_date.weekday()) % 7
+ monday_start = start_date + datetime.timedelta(days=days_to_first_monday)
+ # ********************* 2022 *********************************************************
+ while monday_start.year == 2022:
+ t_starts.append(monday_start.strftime('%Y-%m-%d %H:%M:%S'))
+ monday_start += datetime.timedelta(days=7)
+
+ #for t_start_str in t_starts:
+ for strategy in strategies:
+ t_start = pd.Timestamp('2022-07-04 00:00:00')
+ run_V2X_scenario(bat, power, t_start, strategy)
+
+
+run_different_scenarios()
\ No newline at end of file
diff --git a/rest simulation/run runme_27.py b/rest simulation/run runme_27.py
new file mode 100644
index 0000000000000000000000000000000000000000..722857b087ebe38ca7a12a53fd5e0a5363b309e2
--- /dev/null
+++ b/rest simulation/run runme_27.py
@@ -0,0 +1,52 @@
+"""
+This script is to run scenarios automatically
+"""
+
+import os
+import datetime
+import pandas as pd
+from runme import run_V2X_scenario
+
+
+def run_different_scenarios():
+ battery_size = [80] # 18.4, 22, 30 are too small for driving consumption
+ charging_power = [22]
+ strategies = [ # 'V2X_PS_',
+ # 'V2X_V2H_PS_',
+ # 'V2X_V2H_PS_FCR_aFRR_SMT_',
+ 'V2X_PS_FCR_aFRR_SMT_'
+ ]
+
+ file_path = '../input_files/models/prosumer_models/V2X_jfu/'
+ file_name = 'components.csv'
+ new_file_name = 'components2.csv'
+ components_df = pd.read_csv(r'' + file_path + file_name, index_col=False)
+
+ # run different parameters
+ for bat in battery_size:
+ for power in charging_power:
+ components_df.loc[components_df['name'] == 'battery', 'min_size'] = bat
+ components_df.loc[components_df['name'] == 'battery', 'max_size'] = bat
+ components_df.loc[components_df['name'] == 'inv_bat', 'min_size'] = power
+ components_df.loc[components_df['name'] == 'inv_bat', 'max_size'] = power
+ components_df.to_csv(file_path + new_file_name, index=False)
+ os.remove(file_path + file_name)
+ os.rename(file_path + new_file_name, file_path + file_name)
+
+ #run different weeks
+ t_starts = []
+ start_date = datetime.datetime(2022, 1, 1) # start from the second week
+ days_to_first_monday = (7 - start_date.weekday()) % 7
+ monday_start = start_date + datetime.timedelta(days=days_to_first_monday)
+ # ********************* 2022 *********************************************************
+ while monday_start.year == 2022:
+ t_starts.append(monday_start.strftime('%Y-%m-%d %H:%M:%S'))
+ monday_start += datetime.timedelta(days=7)
+
+ #for t_start_str in t_starts:
+ for strategy in strategies:
+ t_start = pd.Timestamp('2022-07-04 00:00:00')
+ run_V2X_scenario(bat, power, t_start, strategy)
+
+
+run_different_scenarios()
\ No newline at end of file
diff --git a/rest simulation/run runme_28.py b/rest simulation/run runme_28.py
new file mode 100644
index 0000000000000000000000000000000000000000..d34d0fa540775407a8a708ea0052865f4fb1ada7
--- /dev/null
+++ b/rest simulation/run runme_28.py
@@ -0,0 +1,52 @@
+"""
+This script is to run scenarios automatically
+"""
+
+import os
+import datetime
+import pandas as pd
+from runme import run_V2X_scenario
+
+
+def run_different_scenarios():
+ battery_size = [40] # 18.4, 22, 30 are too small for driving consumption
+ charging_power = [11]
+ strategies = [ # 'V2X_PS_',
+ # 'V2X_V2H_PS_',
+ 'V2X_V2H_PS_FCR_aFRR_SMT_',
+ # 'V2X_PS_FCR_aFRR_SMT_'
+ ]
+
+ file_path = '../input_files/models/prosumer_models/V2X_jfu/'
+ file_name = 'components.csv'
+ new_file_name = 'components2.csv'
+ components_df = pd.read_csv(r'' + file_path + file_name, index_col=False)
+
+ # run different parameters
+ for bat in battery_size:
+ for power in charging_power:
+ components_df.loc[components_df['name'] == 'battery', 'min_size'] = bat
+ components_df.loc[components_df['name'] == 'battery', 'max_size'] = bat
+ components_df.loc[components_df['name'] == 'inv_bat', 'min_size'] = power
+ components_df.loc[components_df['name'] == 'inv_bat', 'max_size'] = power
+ components_df.to_csv(file_path + new_file_name, index=False)
+ os.remove(file_path + file_name)
+ os.rename(file_path + new_file_name, file_path + file_name)
+
+ #run different weeks
+ t_starts = []
+ start_date = datetime.datetime(2022, 1, 1) # start from the second week
+ days_to_first_monday = (7 - start_date.weekday()) % 7
+ monday_start = start_date + datetime.timedelta(days=days_to_first_monday)
+ # ********************* 2022 *********************************************************
+ while monday_start.year == 2022:
+ t_starts.append(monday_start.strftime('%Y-%m-%d %H:%M:%S'))
+ monday_start += datetime.timedelta(days=7)
+
+ #for t_start_str in t_starts:
+ for strategy in strategies:
+ t_start = pd.Timestamp('2022-07-04 00:00:00')
+ run_V2X_scenario(bat, power, t_start, strategy)
+
+
+run_different_scenarios()
\ No newline at end of file
diff --git a/rest simulation/run runme_29.py b/rest simulation/run runme_29.py
new file mode 100644
index 0000000000000000000000000000000000000000..63993ff1099c68726907d626c36c44fc9ff36944
--- /dev/null
+++ b/rest simulation/run runme_29.py
@@ -0,0 +1,52 @@
+"""
+This script is to run scenarios automatically
+"""
+
+import os
+import datetime
+import pandas as pd
+from runme import run_V2X_scenario
+
+
+def run_different_scenarios():
+ battery_size = [60] # 18.4, 22, 30 are too small for driving consumption
+ charging_power = [11]
+ strategies = [ # 'V2X_PS_',
+ # 'V2X_V2H_PS_',
+ 'V2X_V2H_PS_FCR_aFRR_SMT_',
+ # V2X_PS_FCR_aFRR_SMT_'
+ ]
+
+ file_path = '../input_files/models/prosumer_models/V2X_jfu/'
+ file_name = 'components.csv'
+ new_file_name = 'components2.csv'
+ components_df = pd.read_csv(r'' + file_path + file_name, index_col=False)
+
+ # run different parameters
+ for bat in battery_size:
+ for power in charging_power:
+ components_df.loc[components_df['name'] == 'battery', 'min_size'] = bat
+ components_df.loc[components_df['name'] == 'battery', 'max_size'] = bat
+ components_df.loc[components_df['name'] == 'inv_bat', 'min_size'] = power
+ components_df.loc[components_df['name'] == 'inv_bat', 'max_size'] = power
+ components_df.to_csv(file_path + new_file_name, index=False)
+ os.remove(file_path + file_name)
+ os.rename(file_path + new_file_name, file_path + file_name)
+
+ #run different weeks
+ t_starts = []
+ start_date = datetime.datetime(2022, 1, 1) # start from the second week
+ days_to_first_monday = (7 - start_date.weekday()) % 7
+ monday_start = start_date + datetime.timedelta(days=days_to_first_monday)
+ # ********************* 2022 *********************************************************
+ while monday_start.year == 2022:
+ t_starts.append(monday_start.strftime('%Y-%m-%d %H:%M:%S'))
+ monday_start += datetime.timedelta(days=7)
+
+ #for t_start_str in t_starts:
+ for strategy in strategies:
+ t_start = pd.Timestamp('2022-07-04 00:00:00')
+ run_V2X_scenario(bat, power, t_start, strategy)
+
+
+run_different_scenarios()
\ No newline at end of file