HH_global.py

import os
import pandas
import requests

FLASK_ENV = os.environ.get('FLASK_ENV')
if FLASK_ENV == "development":
	db_address = 'http://localhost:5000/api/v1/'
elif FLASK_ENV == "production":
	db_address = 'http://ec2-54-176-103-69.us-west-1.compute.amazonaws.com/api/v1/'
gld_simulation = False # True : uses gridlabd as representation of physical model
dispatch_mode = True # True : implements dispatch decisions by writing them to the database
field_simulation = True # True : real-time field simulation, does not use a time offset

# Only needed if gld_simulation = False
#start_time_str = '2021-07-22 15:23:45' # GREENWICH simulation start at local computer (in Greenwhich; if offline data is used, if not choose any)
start_time_db = '2021-09-22 09:00:00' #start of db (if offline data is used, if not choose == start_time_str)
#DeltaT = pandas.Timestamp(start_time_str) - pandas.Timestamp(start_time_db) # Time offset between DB and current computer time

# Market settings
market_id = 1
try:
	interval = int(requests.get(db_address+'markets?market_id='+str(market_id)).json()['results']['data'][0]['ts'])
	print('Market interval is ' + str(interval) + ' (as indicated in markets table)')
except:
	interval = 300
transformer_id = 1
p_max = 100.0

# Comes from control room
C = 'random' # for testing
market_data = 'random' #'Ercot_HBSouth.csv'

# Control room
load_forecast = 'myopic'
unresp_factor = 0.0
ref_price = 'historical'
price_intervals = 288 #p average calculation
which_price = 'DA' #battery scheduling

# Result file
results_folder = 'results'