def run(self, P_req=[0], Q_req=[0], initSoC=50, dt=1):
P_req = P_req / self.num_of_devices
Q_req = Q_req / self.num_of_devices
# error checking
if initSoC < self.min_soc or initSoC > self.max_soc:
print('ERROR: initSoC out of range')
return [[], []]
elif P_req == []:
print('ERROR: P_req vector must not be empty')
return [[], []]
else:
self.t = self.t + dt
response = FleetResponse()
# pre-define output vectors SoC
SoC = numpy.zeros(2)
SoC[0] = initSoC # initialize SoC
p_ach = 0
q_ach = 0
# Max ramp rate and aparent powerlimit checking
if (P_req - self.P_injected) > self.max_ramp_up:
p_ach = self.max_ramp_up
elif (P_req - self.P_injected) < self.max_ramp_down:
p_ach = self.max_ramp_down
else:
p_ach = P_req
if (Q_req - self.Q_injected) > self.max_ramp_up:
q_ach = self.max_ramp_up
elif (Q_req - self.Q_injected) < self.max_ramp_down:
q_ach = self.max_ramp_down
else:
q_ach = Q_req
if p_ach < self.max_power_discharge:
p_ach = self.max_power_discharge
if p_ach > self.max_power_charge:
p_ach = self.max_power_charge
S_req = float(numpy.sqrt(p_ach**2 + q_ach**2))
if S_req > self.max_apparent_power:
q_ach = float(
numpy.sqrt(numpy.abs(self.max_apparent_power**2 -
p_ach**2)) * numpy.sign(q_ach))
S_req = float(numpy.sqrt(p_ach**2 + q_ach**2))
if p_ach != 0.0:
if float(numpy.abs(S_req / p_ach)) < self.min_pf:
q_ach = float(
numpy.sqrt(
numpy.abs((p_ach / self.min_pf)**2 - p_ach**2)) *
numpy.sign(q_ach))
# run function for ERM model type
if self.model_type == 'ERM':
response.P_injected_max = self.max_power_discharge
response.Q_injected_max = float(
numpy.sqrt(numpy.abs(self.max_apparent_power**2 -
p_ach**2)))
# Calculate SoC and Power Achieved
Ppos = min(self.max_power_charge, max(p_ach, 0))
Pneg = max(self.max_power_discharge, min(p_ach, 0))
SoC[1] = SoC[0] + float(100) * dt * (
Pneg + (Ppos * self.energy_efficiency) +
self.self_discharge_power) / self.energy_capacity
if SoC[1] > self.max_soc:
Ppos = (self.energy_capacity * (self.max_soc - SoC[0]) /
(float(100) * dt) -
self.self_discharge_power) / self.energy_efficiency
SoC[1] = self.max_soc
if SoC[0] == self.max_soc:
Ppos = 0
if SoC[1] < self.min_soc:
Pneg = self.energy_capacity * (self.min_soc - SoC[0]) / (
float(100) * dt) - self.self_discharge_power
SoC[1] = self.min_soc
if SoC[0] == self.min_soc:
Pneg = 0
p_ach = (Ppos + Pneg) * self.num_of_devices
q_ach = q_ach * self.num_of_devices
response.P_injected = p_ach
response.Q_injected = q_ach
response.P_dot = p_ach - self.P_injected
response.Q_dot = q_ach - self.Q_injected
response.P_service = 0
response.Q_service = 0
response.P_service_max = 0
response.Q_service_max = 0
response.Loss_standby = self.self_discharge_power
response.Eff_throughput = float(
p_ach > 0) * self.energy_efficiency + float(p_ach > 0)
self.soc = SoC[1]
return response
# run function for ERM model type
elif self.model_type == 'CRM':
# convert AC power p_ach to DC power pdc
self.pdc = self.coeff_2 * (p_ach**2) + self.coeff_1 * (
p_ach) + self.coeff_0
# convert DC power pdc to DC current
""" self.ibat = self.pdc *1000 / self.vbat
self.pdc = self.ibat * ((self.v1 + self.v2 + self.voc + self.ibat*self.r0) *self.n_cells) *1000
0 = -self.pdc + (self.v1 + self.v2 + self.voc)*self.n_cells) *1000*self.ibat + self.r0 *self.n_cells*1000* (self.ibat**2) """
b = ((self.v1 + self.v2 + self.voc) * self.n_cells)
a = self.r0 * self.n_cells
c = -self.pdc * 1000
self.ibat = (-b + numpy.sqrt(b**2 - 4 * a * c)) / (2 * a)
self.vbat = (self.v1 + self.v2 + self.voc +
self.ibat * self.r0) * self.n_cells
# calculate dynamic voltages
self.v1 = self.v1 + dt * ((1 / (self.r1 * self.c1)) * self.v1 +
(1 / (self.c1)) * self.ibat)
self.v2 = self.v2 + dt * ((1 / (self.r2 * self.c2)) * self.v1 +
(1 / (self.c2)) * self.ibat)
response.P_injected_max = self.max_power_discharge
response.Q_injected_max = float(
numpy.sqrt(numpy.abs(self.max_apparent_power**2 -
p_ach**2)))
# Calculate SoC and Power Achieved
Ipos = min(self.max_current_charge, max(self.ibat, 0))
Ineg = max(self.max_current_discharge, min(self.ibat, 0))
SoC[1] = SoC[0] + float(100) * dt * (
Ineg + (Ipos * self.coulombic_efficiency) +
self.self_discharge_current) / self.charge_capacity
if SoC[1] > self.max_soc:
Ipos = (self.charge_capacity * (self.max_soc - SoC[0]) /
(float(100) * dt) - self.self_discharge_current
) / self.coulombic_efficiency
SoC[1] = self.max_soc
if SoC[0] == self.max_soc:
Ipos = 0
self.pdc = Ipos * self.vbat / 1000
if self.coeff_2 != 0:
p_ach = (-self.coeff_1 + float(
numpy.sqrt(self.coeff_1**2 - 4 * self.coeff_2 *
(self.coeff_0 - self.pdc)))) / (
2 * self.coeff_2)
else:
p_ach = (self.pdc - self.coeff_0) / self.coeff_1
if SoC[1] < self.min_soc:
Ineg = self.charge_capacity * (self.min_soc - SoC[0]) / (
float(100) * dt) - self.self_discharge_current
SoC[1] = self.min_soc
if SoC[0] == self.min_soc:
Ineg = 0
self.pdc = Ineg * self.vbat / 1000
if self.coeff_2 != 0:
p_ach = (-self.coeff_1 + float(
numpy.sqrt(self.coeff_1**2 - 4 * self.coeff_2 *
(self.coeff_0 - self.pdc)))) / (
2 * self.coeff_2)
else:
p_ach = (self.pdc - self.coeff_0) / self.coeff_1
self.ibat = Ipos + Ineg
self.soc = SoC[1]
self.voc_update()
self.vbat = (self.v1 + self.v2 + self.voc +
self.ibat * self.r0) * self.n_cells
p_ach = p_ach * self.num_of_devices
q_ach = q_ach * self.num_of_devices
response.P_injected = p_ach
response.Q_injected = q_ach
response.P_dot = p_ach - self.P_injected
response.Q_dot = q_ach - self.Q_injected
response.P_service = 0
response.Q_service = 0
response.P_service_max = 0
response.Q_service_max = 0
response.Loss_standby = self.self_discharge_current * (
self.voc)
response.E = (self.soc -
self.min_soc) * self.charge_capacity * self.voc
response.Eff_throughput = (response.E - self.es) / (p_ach * dt)
self.es = response.E
self.vbat = (self.v1 + self.v2 + self.voc +
self.ibat * self.r0) * self.n_cells
return response
def run(self, P_req, Q_req, initSOC, t, dt, ts):
# ExecuteFleet(self, Steps, Timestep, P_request, Q_request, forecast):
# run(self, P_req=[0], Q_req=[0], ts=datetime.utcnow(), del_t=timedelta(hours=1)):
# Give the code the capability to respond to None requests
if P_req == None:
P_req = 0
if Q_req == None:
Q_req = 0
P_togrid = 0
P_service = 0
P_base = 0
P_service_max = 0
self.P_request_perWH = P_req / self.numWH # this is only for the first step
number = 0 # index for running through all the water heaters
NumDevicesToCall = 0
P_service_max0 = 0
# decision making about which water heater to call on for service, check if available at last step, if so then
# check for SoC > self.minSOC and Soc < self.maxSOC
for n in range(self.numWH):
if self.P_request_perWH < 0 and self.IsAvailableAdd[
n] > 0 and self.SOC[n] < self.maxSOC:
NumDevicesToCall += 1
elif self.P_request_perWH > 0 and self.IsAvailableShed[
n] > 0 and self.SOC[n] > self.minSOC:
NumDevicesToCall += 1
if P_req != None:
self.P_request_perWH = P_req / max(
NumDevicesToCall, 1
) # divide the fleet request by the number of devices that can be called upon
# create a .csv outputfile with each water heater's metrics
# outputfilename = join(self.base_path,"WH_fleet_outputs.csv")
# self.outputfile = open(outputfilename,"w")
# self.outputfile.write("Timestep,")
# create a .csv outputfile with P_service, P_togrid, and P_base
# outputfilename = join(self.base_path,"WH_fleet_outputs.csv")
#################################
for wh in self.whs: # loop through all water heaters
if P_req == None:
response = wh.execute(
self.TtankInitial[number], self.TtankInitial_b[number],
self.TsetInitial[number], self.Tamb[number][0],
self.RHamb[number][0], self.Tmains[number][0],
self.draw[number][0], 0, self.Type, self.dt,
self.draw_fleet_ave[0], self.element_on_last)
P_service = 0
if P_req < 0 and self.IsAvailableAdd[number] > 0:
response = wh.execute(
self.TtankInitial[number], self.TtankInitial_b[number],
self.TsetInitial[number], self.Tamb[number][0],
self.RHamb[number][0], self.Tmains[number][0],
self.draw[number][0], P_req, self.Type, self.dt,
self.draw_fleet_ave[0], self.element_on_last)
P_req = P_req - response.Eservice
P_service += response.Eservice
elif P_req > 0 and self.IsAvailableShed[number] > 0:
response = wh.execute(
self.TtankInitial[number], self.TtankInitial_b[number],
self.TsetInitial[number], self.Tamb[number][0],
self.RHamb[number][0], self.Tmains[number][0],
self.draw[number][0], P_req, self.Type, self.dt,
self.draw_fleet_ave[0], self.element_on_last)
P_req = P_req + response.Eservice
P_service -= response.Eservice
#print("P_req = {}, P_service = {}, Eservice = {}".format(P_req,P_service,response.Eservice))
else:
response = wh.execute(
self.TtankInitial[number], self.TtankInitial_b[number],
self.TsetInitial[number], self.Tamb[number][0],
self.RHamb[number][0], self.Tmains[number][0],
self.draw[number][0], 0, self.Type, self.dt,
self.draw_fleet_ave[0], self.element_on_last)
# print('P_req = {}'.format(P_req))
# assign returned parameters to associated lists to be recorded
self.element_on_last[number] = response.ElementOn
self.TtankInitial[number] = response.Ttank
self.TtankInitial_b[number] = response.Ttank_b
self.SOC[number] = response.SOC
self.SOCb[number] = response.SOC_b
self.IsAvailableAdd[number] = response.IsAvailableAdd
self.IsAvailableShed[number] = response.IsAvailableShed
self.AvailableCapacityAdd[number] = response.AvailableCapacityAdd
self.AvailableCapacityShed[number] = response.AvailableCapacityShed
self.ServiceCallsAccepted[number] = response.ServiceCallsAccepted
self.ServiceProvided[number] = response.Eservice
'''
P_togrid -= response.Eused
P_base -= response.Pbase
if P_req <0 or P_req > 0:
P_response = (P_togrid - P_base)
else:
P_response = 0
'''
P_togrid -= response.Eused
P_base -= response.Pbase
# self.outputfile.write(str(response.Ttank) +"," + str(self.TsetInitial[number]) + "," + str(response.Eused) + "," + str(response.PusedMax) + "," + str(response.Eloss) + "," + str(response.ElementOn) + "," + str(response.Eservice) + "," + str(response.SOC) + "," + str(response.AvailableCapacityAdd) + "," + str(response.AvailableCapacityShed) + "," + str(response.ServiceCallsAccepted) + "," + str(response.IsAvailableAdd) + "," + str(response.IsAvailableShed) + "," + str(self.draw[number][0]) + "," + str(response.Edel) + ",")
# resp.sim_step = response.sim_step
number += 1 # go to next device
if P_req <= 0:
P_service_max += response.AvailableCapacityShed # NOTE THIS ASSUMES THE MAX SERVICE IS LOAD SHED
else:
P_service_max0 += response.AvailableCapacityAdd
P_service_max = -1.0 * P_service_max0
# self.outputfile.write("\n")
self.step += 1 # To advance the step by step in the disturbance file
# Output Fleet Response
resp = FleetResponse()
resp.P_service = []
resp.P_service_max = []
resp.P_service_min = []
resp.P_togrid = []
resp.P_togrid_max = []
resp.P_togrid_min = []
resp.P_forecast = []
resp.P_base = []
resp.E = []
resp.C = []
resp.ts = ts
resp.sim_step = dt
# resp.P_dot_up = resp.P_togrid_max / ServiceRequest.Timestep.seconds
resp.P_service_max = P_service_max
resp.P_service = P_service
resp.P_base = P_base
resp.P_togrid = P_togrid
# if P_service != 0:
# print("resp.P_base = {}".format(resp.P_base))
# print("Pbase = {}".format(resp.P_base))
# print("Ptogrid = {}".format(resp.P_togrid))
# Available Energy stored at the end of the most recent timestep
# resp.E += response.Estored
resp.E = 0
resp.C += response.SOC / (self.numWH)
resp.Q_togrid = 'NA'
resp.Q_service = 'NA'
resp.Q_service_max = 'NA'
resp.Q_service_min = 'NA'
resp.Q_togrid_min = 'NA'
resp.Q_togrid_max = 'NA'
resp.Q_dot_up = 'NA'
resp.Q_dot_down = 'NA'
resp.P_dot_up = 0
resp.P_dot_down = 0
resp.Eff_charge = 1.0 # TODO: change this if we ever use a HPWH to use the HP efficiency
resp.Eff_discharge = 1.0 # always equal to 1 for this device
resp.P_dot = resp.P_togrid / dt
resp.P_service_min = 0
resp.dT_hold_limit = 'NA'
resp.T_restore = 'NA'
resp.Strike_price = 'NA'
resp.SOC_cost = 'NA'
# TotalServiceProvidedPerTimeStep[step] = -1.0*self.P_service # per time step for all hvacs -1.0*
"""
Modify the power and SOC of the different subfeets according
to the frequency droop regulation according to IEEE standard
"""
if self.FW21_Enabled and self.is_autonomous:
power_ac = resp.P_service_max
p_prev = resp.P_togrid
power_fleet = self.frequency_watt(power_ac, p_prev, self.ts,
self.location,
self.db_UF_subfleet,
self.db_OF_subfleet)
power_fleet, SOC_step = self.update_soc_due_to_frequency_droop(
initSOC, power_fleet, dt)
self.time = t + dt
self.ts = self.ts + timedelta(seconds=dt)
# Restart time if it surpasses 24 hours
if self.time > 24 * 3600:
self.time = self.time - 24 * 3600
# Impact Metrics
# Update the metrics
'''
Ttotal = 0
SOCTotal = 0
self.cycle_basee = np.sum(self.cycle_off_base)
self.cycle_basee += np.sum(self.cycle_on_base)
self.cycle_grid = np.sum(self.cycle_off_grid)
self.cycle_grid += np.sum(self.cycle_on_grid)
'''
for number in range(self.numWH):
if response.Ttank <= self.TsetInitial[
number] - 10: # assume 10F deadband (consistent with wh.py)
self.unmet_hours += 1 * self.sim_step / 3600.0
if resp.P_base == 0 and resp.P_togrid == 0:
self.ratio_P_togrid_P_base = 1.0
elif resp.P_base == 0 and resp.P_togrid != 0:
self.ratio_P_togrid_P_base = 'NA'
else:
self.ratio_P_togrid_P_base = resp.P_togrid / (resp.P_base)
self.energy_impacts += abs(resp.P_service) * (self.sim_step / 3600)
return resp