diff --git a/test_cases/battery/IEEE123_secondary.glm b/test_cases/battery/IEEE123_secondary.glm index 1af91147..f7d83647 100644 --- a/test_cases/battery/IEEE123_secondary.glm +++ b/test_cases/battery/IEEE123_secondary.glm @@ -51,7 +51,7 @@ object load { object transformer { name dcfc_trans_0; phases "ABCN"; - from "meter_87"; + from "meter_77"; to dcfc_load_0; configuration dcfc_transformer; } @@ -69,7 +69,7 @@ object load { object transformer { name dcfc_trans_1; phases "ABCN"; - from "meter_48"; + from "meter_98"; to dcfc_load_1; configuration dcfc_transformer; } @@ -86,8 +86,8 @@ object load { object transformer { name dcfc_trans_2; - phases "ABC"; - from "meter_64"; + phases "ABCN"; + from "meter_82"; to dcfc_load_2; configuration dcfc_transformer; } @@ -105,7 +105,7 @@ object load { object transformer { name dcfc_trans_3; phases "ABCN"; - from "meter_95"; + from "meter_79"; to dcfc_load_3; configuration dcfc_transformer; } diff --git a/test_cases/battery/feeder_population/feeder_population_collocated.py b/test_cases/battery/feeder_population/feeder_population_collocated.py index 01f205df..c3c34508 100644 --- a/test_cases/battery/feeder_population/feeder_population_collocated.py +++ b/test_cases/battery/feeder_population/feeder_population_collocated.py @@ -48,8 +48,7 @@ def run(): """ path_prefix = os.getcwd() os.chdir(path_prefix) # change directory - path_prefix = path_prefix[0:path_prefix.index('EV50_cosimulation')] + 'EV50_cosimulation' - path_prefix.replace('\\', '/') + path_prefix = "\\".join(path_prefix.split('\\')[:-3]) # Gets absolute path to the root of the project to get the desired files. f = open('config.txt', 'r') param_dict = f.read() @@ -262,9 +261,13 @@ def run(): # % load residential load data os.chdir(load_data_dir) - data_use = pandas.read_csv('data_2015_use.csv') - - year = 2018 + # Check if current directory is empty + if len(os.listdir(os.getcwd())) == 0: + raise FileNotFoundError('No data files in directory: ', os.getcwd(), 'Please check the directory to ' + 'ensure data file exists.') + return + data_use = pandas.read_csv('data_use.csv') + year = 2018 # NOTE: Make sure the year matches your data year or else the timestamps will be wrong and may throw erros. timestamp_list = [[] for k in range(len(data_use.month))] for i in range(len(timestamp_list)):