Mirrors/EOS
1
0
Fork 0
mirror of https://github.com/Akkudoktor-EOS/EOS.git synced 2025-10-30 22:36:21 +00:00
Code Issues Actions 4 Packages Projects Releases Wiki Activity

Review comments

Browse Source
This commit is contained in:
Dominique Lasserre
2025-01-24 21:14:37 +01:00
parent 56403fe053
commit 26762e5e93
10 changed files with 75 additions and 190 deletions
Download Patch File Download Diff File Expand all files Collapse all files

147
src/akkudoktoreos/devices/devices.py
View File

@@ -39,153 +39,6 @@ class Devices(SingletonMixin, DevicesBase):
device.post_setup()
# # Devices
# # TODO: Make devices class a container of device simulation providers.
# # Device simulations to be used are then enabled in the configuration.
# battery: ClassVar[Battery] = Battery(provider_id="GenericBattery")
# ev: ClassVar[Battery] = Battery(provider_id="GenericBEV")
# home_appliance: ClassVar[HomeAppliance] = HomeAppliance(provider_id="GenericDishWasher")
# inverter: ClassVar[Inverter] = Inverter(
# self_consumption_predictor=SelfConsumptionProbabilityInterpolator,
# battery=battery,
# provider_id="GenericInverter",
# )
#
# def update_data(self) -> None:
# """Update device simulation data."""
# # Assure devices are set up
# self.battery.setup()
# self.ev.setup()
# self.home_appliance.setup()
# self.inverter.setup()
#
# # Pre-allocate arrays for the results, optimized for speed
# self.last_wh_pro_stunde = np.full((self.total_hours), np.nan)
# self.grid_export_wh_pro_stunde = np.full((self.total_hours), np.nan)
# self.grid_import_wh_pro_stunde = np.full((self.total_hours), np.nan)
# self.kosten_euro_pro_stunde = np.full((self.total_hours), np.nan)
# self.einnahmen_euro_pro_stunde = np.full((self.total_hours), np.nan)
# self.akku_soc_pro_stunde = np.full((self.total_hours), np.nan)
# self.eauto_soc_pro_stunde = np.full((self.total_hours), np.nan)
# self.verluste_wh_pro_stunde = np.full((self.total_hours), np.nan)
# self.home_appliance_wh_per_hour = np.full((self.total_hours), np.nan)
#
# # Set initial state
# simulation_step = to_duration("1 hour")
# if self.battery:
# self.akku_soc_pro_stunde[0] = self.battery.current_soc_percentage()
# if self.ev:
# self.eauto_soc_pro_stunde[0] = self.ev.current_soc_percentage()
#
# # Get predictions for full device simulation time range
# # gesamtlast[stunde]
# load_total_mean = self.prediction.key_to_array(
# "load_total_mean",
# start_datetime=self.start_datetime,
# end_datetime=self.end_datetime,
# interval=simulation_step,
# )
# # pv_prognose_wh[stunde]
# pvforecast_ac_power = self.prediction.key_to_array(
# "pvforecast_ac_power",
# start_datetime=self.start_datetime,
# end_datetime=self.end_datetime,
# interval=simulation_step,
# )
# # strompreis_euro_pro_wh[stunde]
# elecprice_marketprice_wh = self.prediction.key_to_array(
# "elecprice_marketprice_wh",
# start_datetime=self.start_datetime,
# end_datetime=self.end_datetime,
# interval=simulation_step,
# )
# # einspeiseverguetung_euro_pro_wh_arr[stunde]
# # TODO: Create prediction for einspeiseverguetung_euro_pro_wh_arr
# einspeiseverguetung_euro_pro_wh_arr = np.full((self.total_hours), 0.078)
#
# for stunde_since_now in range(0, self.total_hours):
# hour = self.start_datetime.hour + stunde_since_now
#
# # Accumulate loads and PV generation
# consumption = load_total_mean[stunde_since_now]
# self.verluste_wh_pro_stunde[stunde_since_now] = 0.0
#
# # Home appliances
# if self.home_appliance:
# ha_load = self.home_appliance.get_load_for_hour(hour)
# consumption += ha_load
# self.home_appliance_wh_per_hour[stunde_since_now] = ha_load
#
# # E-Auto handling
# if self.ev:
# if self.ev_charge_hours[hour] > 0:
# geladene_menge_eauto, verluste_eauto = self.ev.charge_energy(
# None, hour, relative_power=self.ev_charge_hours[hour]
# )
# consumption += geladene_menge_eauto
# self.verluste_wh_pro_stunde[stunde_since_now] += verluste_eauto
# self.eauto_soc_pro_stunde[stunde_since_now] = self.ev.current_soc_percentage()
#
# # Process inverter logic
# grid_export, grid_import, losses, self_consumption = (0.0, 0.0, 0.0, 0.0)
# if self.battery:
# self.battery.set_charge_allowed_for_hour(self.dc_charge_hours[hour], hour)
# if self.inverter:
# generation = pvforecast_ac_power[hour]
# grid_export, grid_import, losses, self_consumption = self.inverter.process_energy(
# generation, consumption, hour
# )
#
# # AC PV Battery Charge
# if self.battery and self.ac_charge_hours[hour] > 0.0:
# self.battery.set_charge_allowed_for_hour(1, hour)
# geladene_menge, verluste_wh = self.battery.charge_energy(
# None, hour, relative_power=self.ac_charge_hours[hour]
# )
# # print(stunde, " ", geladene_menge, " ",self.ac_charge_hours[stunde]," ",self.battery.current_soc_percentage())
# consumption += geladene_menge
# grid_import += geladene_menge
# self.verluste_wh_pro_stunde[stunde_since_now] += verluste_wh
#
# self.grid_export_wh_pro_stunde[stunde_since_now] = grid_export
# self.grid_import_wh_pro_stunde[stunde_since_now] = grid_import
# self.verluste_wh_pro_stunde[stunde_since_now] += losses
# self.last_wh_pro_stunde[stunde_since_now] = consumption
#
# # Financial calculations
# self.kosten_euro_pro_stunde[stunde_since_now] = (
# grid_import * self.strompreis_euro_pro_wh[hour]
# )
# self.einnahmen_euro_pro_stunde[stunde_since_now] = (
# grid_export * self.einspeiseverguetung_euro_pro_wh_arr[hour]
# )
#
# # battery SOC tracking
# if self.battery:
# self.akku_soc_pro_stunde[stunde_since_now] = self.battery.current_soc_percentage()
# else:
# self.akku_soc_pro_stunde[stunde_since_now] = 0.0
#
# def report_dict(self) -> Dict[str, Any]:
# """Provides devices simulation output as a dictionary."""
# out: Dict[str, Optional[Union[np.ndarray, float]]] = {
# "Last_Wh_pro_Stunde": self.last_wh_pro_stunde,
# "grid_export_Wh_pro_Stunde": self.grid_export_wh_pro_stunde,
# "grid_import_Wh_pro_Stunde": self.grid_import_wh_pro_stunde,
# "Kosten_Euro_pro_Stunde": self.kosten_euro_pro_stunde,
# "akku_soc_pro_stunde": self.akku_soc_pro_stunde,
# "Einnahmen_Euro_pro_Stunde": self.einnahmen_euro_pro_stunde,
# "Gesamtbilanz_Euro": self.total_balance_euro,
# "EAuto_SoC_pro_Stunde": self.eauto_soc_pro_stunde,
# "Gesamteinnahmen_Euro": self.total_revenues_euro,
# "Gesamtkosten_Euro": self.total_costs_euro,
# "Verluste_Pro_Stunde": self.verluste_wh_pro_stunde,
# "Gesamt_Verluste": self.total_losses_wh,
# "Home_appliance_wh_per_hour": self.home_appliance_wh_per_hour,
# }
# return out
# Initialize the Devices simulation, it is a singleton.
devices = Devices()