def __init__(self, config_path, **kwargs):
Agent.__init__(self, **kwargs)
myTransactiveNode.__init__(self)
self.config_path = config_path
self.config = utils.load_config(config_path)
self.name = self.config.get('name')
self.market_cycle_in_min = int(
self.config.get('market_cycle_in_min', 60))
self.duality_gap_threshold = float(
self.config.get('duality_gap_threshold', 0.01))
self.supplier_loss_factor = float(
self.config.get('supplier_loss_factor'))
self.neighbors = []
self.db_topic = self.config.get("db_topic", "tnc")
self.campus_demand_topic = "{}/campus/city/demand".format(
self.db_topic)
self.city_supply_topic = "{}/city/campus/supply".format(self.db_topic)
self.reschedule_interval = timedelta(minutes=10, seconds=1)
self.simulation = self.config.get('simulation', False)
self.simulation_start_time = parser.parse(
self.config.get('simulation_start_time'))
self.simulation_one_hour_in_seconds = int(
self.config.get('simulation_one_hour_in_seconds'))
Timer.created_time = datetime.now()
Timer.simulation = self.simulation
Timer.sim_start_time = self.simulation_start_time
Timer.sim_one_hr_in_sec = self.simulation_one_hour_in_seconds
def __init__(self, config_path, **kwargs):
Agent.__init__(self, **kwargs)
myTransactiveNode.__init__(self)
self.config_path = config_path
self.config = utils.load_config(config_path)
self.name = self.config.get('name')
self.market_cycle_in_min = int(self.config.get('market_cycle_in_min', 60))
self.duality_gap_threshold = float(self.config.get('duality_gap_threshold', 0.01))
self.building_names = self.config.get('buildings', [])
self.building_powers = self.config.get('building_powers')
self.neighbors = []
self.city_supply_topic = 'tnsmarket/city/campus/supply'
self.building_demand_topic = 'tnsmarket/{}/campus/demand'
self.campus_demand_topic = 'tnsmarket/campus/city/demand'
self.campus_supply_topic = 'tnsmarket/campus/{}/supply'
self.reschedule_interval = timedelta(minutes=10, seconds=1)
self.simulation = self.config.get('simulation', False)
self.simulation_start_time = parser.parse(self.config.get('simulation_start_time'))
self.simulation_one_hour_in_seconds = int(self.config.get('simulation_one_hour_in_seconds'))
Timer.created_time = datetime.now()
Timer.simulation = self.simulation
Timer.sim_start_time = self.simulation_start_time
Timer.sim_one_hr_in_sec = self.simulation_one_hour_in_seconds
def __init__(self, config_path, **kwargs):
Agent.__init__(self, **kwargs)
myTransactiveNode.__init__(self)
self.config_path = config_path
self.config = utils.load_config(config_path)
self.name = self.config.get('name')
self.market_cycle_in_min = int(
self.config.get('market_cycle_in_min', 60))
self.duality_gap_threshold = float(
self.config.get('duality_gap_threshold', 0.01))
self.building_names = self.config.get('buildings', [])
self.building_powers = self.config.get('building_powers')
self.db_topic = self.config.get("db_topic", "tnc")
self.PV_max_kW = float(self.config.get("PV_max_kW"))
self.city_loss_factor = float(self.config.get("city_loss_factor"))
self.demand_threshold_coef = float(
self.config.get('demand_threshold_coef'))
self.monthly_peak_power = float(self.config.get('monthly_peak_power'))
self.neighbors = []
self.city_supply_topic = "{}/city/campus/supply".format(self.db_topic)
self.building_demand_topic = "/".join(
[self.db_topic, "{}/campus/demand"])
self.campus_demand_topic = "{}/campus/city/demand".format(
self.db_topic)
self.campus_supply_topic = "/".join(
[self.db_topic, "campus/{}/supply"])
self.solar_topic = "/".join([self.db_topic, "campus/pv"])
self.system_loss_topic = "{}/{}/system_loss".format(
self.db_topic, self.name)
self.dc_threshold_topic = "{}/{}/dc_threshold_topic".format(
self.db_topic, self.name)
self.price_topic = "{}/{}/marginal_prices".format(
self.db_topic, self.name)
self.reschedule_interval = timedelta(minutes=10, seconds=1)
self.simulation = self.config.get('simulation', False)
self.simulation_start_time = parser.parse(
self.config.get('simulation_start_time'))
self.simulation_one_hour_in_seconds = int(
self.config.get('simulation_one_hour_in_seconds'))
Timer.created_time = datetime.now()
Timer.simulation = self.simulation
Timer.sim_start_time = self.simulation_start_time
Timer.sim_one_hr_in_sec = self.simulation_one_hour_in_seconds
def __init__(self, config_path, **kwargs):
MarketAgent.__init__(self, **kwargs)
myTransactiveNode.__init__(self)
self.config_path = config_path
self.config = utils.load_config(config_path)
self.name = self.config.get('name')
self.agent_name = self.config.get('agentid', 'building_agent')
self.db_topic = self.config.get("db_topic", "tnc")
self.power_topic = self.config.get("power_topic")
self.market_cycle_in_min = int(self.config.get('market_cycle_in_min', 60))
self.duality_gap_threshold = float(self.config.get('duality_gap_threshold', 0.01))
self.campus_loss_factor = float(self.config.get('campus_loss_factor', 0.01))
self.neighbors = []
self.max_deliver_capacity = float(self.config.get('max_deliver_capacity'))
self.demand_threshold_coef = float(self.config.get('demand_threshold_coef'))
self.monthly_peak_power = float(self.config.get('monthly_peak_power'))
self.building_demand_topic = "{}/{}/campus/demand".format(self.db_topic, self.name)
self.campus_supply_topic = "{}/campus/{}/supply".format(self.db_topic, self.name)
self.system_loss_topic = "{}/{}/system_loss".format(self.db_topic, self.name)
self.mix_market_running = False
verbose_logging = self.config.get('verbose_logging', True)
self.prices = [None for i in range(25)]
self.quantities = [None for i in range(25)]
self.building_demand_curves = [None for i in range(25)]
self.mix_market_duration = timedelta(minutes=20)
self.reschedule_interval = timedelta(minutes=10, seconds=1)
self.simulation = self.config.get('simulation', False)
try:
self.simulation_start_time = parser.parse(self.config.get('simulation_start_time'))
self.simulation_one_hour_in_seconds = int(self.config.get('simulation_one_hour_in_seconds'))
except:
self.simulation_start_time = datetime.now()
self.simulation_one_hour_in_seconds = 3600
# Create market names to join
self.base_market_name = 'electric' # Need to agree on this with other market agents
self.market_names = []
for i in range(24):
self.market_names.append('_'.join([self.base_market_name, str(i)]))
Timer.created_time = datetime.now()
Timer.simulation = self.simulation
Timer.sim_start_time = self.simulation_start_time
Timer.sim_one_hr_in_sec = self.simulation_one_hour_in_seconds
if self.simulation:
self.ep_lines = []
self.cur_ep_line = 0
# with open(ep_res_path, 'r') as fh:
# for line in fh:
# self.ep_lines.append(line)
_log2.debug("Mixmarket for agent {}:".format(self.name))