rest 9 simulations

rest simulation/run runme_21.py

+"""
+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

rest simulation/run runme_22.py

+"""
+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

rest simulation/run runme_23.py

+"""
+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

rest simulation/run runme_24.py

+"""
+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

rest simulation/run runme_25.py

+"""
+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

rest simulation/run runme_26.py

+"""
+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

rest simulation/run runme_27.py

+"""
+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

rest simulation/run runme_28.py

+"""
+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

rest simulation/run runme_29.py

+"""
+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