def step(self):
""" execute one step of the simulation.
This steps all devices, auto-optimizes if needed and store the values
"""
execute_user_function(self.env, self.env.forecast, self.devices, self.user_function)
if self.use_optimization and self.next_optimization <= 0.0:
auto_optimize(self)
self.next_optimization = 3600.0
# call step function for all devices
for device in self.devices:
device.step()
self.store_values()
self.env.now += self.env.step_size
self.next_optimization -= self.env.step_size
def step(self):
""" execute one step of the simulation.
This steps all devices, auto-optimizes if needed and store the values
"""
execute_user_function(self.env, self.env.forecast, self.devices,
self.user_function)
if self.use_optimization and self.next_optimization <= 0.0:
auto_optimize(self)
self.next_optimization = 3600.0
# call step function for all devices
for device in self.devices:
device.step()
self.store_values()
self.env.now += self.env.step_size
self.next_optimization -= self.env.step_size
def run(self):
step = 0
while True:
# every minute
functions.check_thresholds()
if not execute_user_function(self.user_function, self.env, self.devices, get_forecast):
logger.warning('user_function failed')
# every 10 minutes
if step % 10 == 0:
# functions.refresh_views()
pass
# make sure step is within a day
step = (step + 1) % (60 * 60 * 24)
time.sleep(60) # wait a minute