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Soc 1 hour shift fixed + some german -> english translations in ems
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053e60aca4
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@ -315,7 +315,7 @@ def run_optimization(real_world: bool = False, start_hour: int = 0, verbose: boo
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# Initialize the optimization problem using the default configuration
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config_eos = get_config()
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config_eos.merge_settings_from_dict({"prediction_hours": 48, "optimization_hours": 24})
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config_eos.merge_settings_from_dict({"prediction_hours": 48, "optimization_hours": 48})
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opt_class = optimization_problem(verbose=verbose, fixed_seed=42)
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# Perform the optimisation based on the provided parameters and start hour
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@ -135,19 +135,19 @@ class EnergieManagementSystem(SingletonMixin, ConfigMixin, PredictionMixin, Pyda
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# TODO: Take from prediction
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# -------------------------
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gesamtlast: Optional[NDArray[Shape["*"], float]] = Field(
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load_energy_array: Optional[NDArray[Shape["*"], float]] = Field(
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default=None,
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description="An array of floats representing the total load (consumption) in watts for different time intervals.",
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)
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pv_prognose_wh: Optional[NDArray[Shape["*"], float]] = Field(
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pv_prediction_wh: Optional[NDArray[Shape["*"], float]] = Field(
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default=None,
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description="An array of floats representing the forecasted photovoltaic output in watts for different time intervals.",
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)
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strompreis_euro_pro_wh: Optional[NDArray[Shape["*"], float]] = Field(
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elect_price_hourly: Optional[NDArray[Shape["*"], float]] = Field(
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default=None,
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description="An array of floats representing the electricity price in euros per watt-hour for different time intervals.",
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)
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einspeiseverguetung_euro_pro_wh_arr: Optional[NDArray[Shape["*"], float]] = Field(
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elect_revenue_per_hour_arr: Optional[NDArray[Shape["*"], float]] = Field(
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default=None,
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description="An array of floats representing the feed-in compensation in euros per watt-hour.",
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)
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@ -156,8 +156,8 @@ class EnergieManagementSystem(SingletonMixin, ConfigMixin, PredictionMixin, Pyda
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# TODO: Move to devices
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# -------------------------
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akku: Optional[Battery] = Field(default=None, description="TBD.")
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eauto: Optional[Battery] = Field(default=None, description="TBD.")
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battery: Optional[Battery] = Field(default=None, description="TBD.")
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ev: Optional[Battery] = Field(default=None, description="TBD.")
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home_appliance: Optional[HomeAppliance] = Field(default=None, description="TBD.")
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inverter: Optional[Inverter] = Field(default=None, description="TBD.")
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@ -172,23 +172,25 @@ class EnergieManagementSystem(SingletonMixin, ConfigMixin, PredictionMixin, Pyda
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def set_parameters(
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self,
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parameters: EnergieManagementSystemParameters,
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eauto: Optional[Battery] = None,
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ev: Optional[Battery] = None,
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home_appliance: Optional[HomeAppliance] = None,
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inverter: Optional[Inverter] = None,
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) -> None:
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self.gesamtlast = np.array(parameters.gesamtlast, float)
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self.pv_prognose_wh = np.array(parameters.pv_prognose_wh, float)
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self.strompreis_euro_pro_wh = np.array(parameters.strompreis_euro_pro_wh, float)
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self.einspeiseverguetung_euro_pro_wh_arr = (
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self.load_energy_array = np.array(parameters.gesamtlast, float)
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self.pv_prediction_wh = np.array(parameters.pv_prognose_wh, float)
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self.elect_price_hourly = np.array(parameters.strompreis_euro_pro_wh, float)
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self.elect_revenue_per_hour_arr = (
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parameters.einspeiseverguetung_euro_pro_wh
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if isinstance(parameters.einspeiseverguetung_euro_pro_wh, list)
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else np.full(len(self.gesamtlast), parameters.einspeiseverguetung_euro_pro_wh, float)
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else np.full(
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len(self.load_energy_array), parameters.einspeiseverguetung_euro_pro_wh, float
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)
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)
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if inverter is not None:
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self.akku = inverter.akku
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self.battery = inverter.battery
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else:
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self.akku = None
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self.eauto = eauto
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self.battery = None
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self.ev = ev
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self.home_appliance = home_appliance
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self.inverter = inverter
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self.ac_charge_hours = np.full(self.config.prediction_hours, 0.0)
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@ -196,8 +198,8 @@ class EnergieManagementSystem(SingletonMixin, ConfigMixin, PredictionMixin, Pyda
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self.ev_charge_hours = np.full(self.config.prediction_hours, 0.0)
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def set_akku_discharge_hours(self, ds: np.ndarray) -> None:
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if self.akku is not None:
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self.akku.set_discharge_per_hour(ds)
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if self.battery is not None:
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self.battery.set_discharge_per_hour(ds)
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def set_akku_ac_charge_hours(self, ds: np.ndarray) -> None:
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self.ac_charge_hours = ds
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@ -213,10 +215,10 @@ class EnergieManagementSystem(SingletonMixin, ConfigMixin, PredictionMixin, Pyda
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self.home_appliance.set_starting_time(ds, global_start_hour=global_start_hour)
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def reset(self) -> None:
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if self.eauto:
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self.eauto.reset()
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if self.akku:
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self.akku.reset()
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if self.ev:
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self.ev.reset()
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if self.battery:
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self.battery.reset()
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def run(
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self,
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@ -269,12 +271,11 @@ class EnergieManagementSystem(SingletonMixin, ConfigMixin, PredictionMixin, Pyda
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start_datetime = to_datetime().set(hour=start_hour, minute=0, second=0, microsecond=0)
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self.set_start_datetime(start_datetime)
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def simuliere_ab_jetzt(self) -> dict[str, Any]:
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jetzt = to_datetime().now()
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start_stunde = jetzt.hour
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return self.simuliere(start_stunde)
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def simulate_start_now(self) -> dict[str, Any]:
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start_hour = to_datetime().now().hour
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return self.simulate(start_hour)
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def simuliere(self, start_stunde: int) -> dict[str, Any]:
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def simulate(self, start_hour: int) -> dict[str, Any]:
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"""hour.
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akku_soc_pro_stunde begin of the hour, initial hour state!
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@ -282,139 +283,150 @@ class EnergieManagementSystem(SingletonMixin, ConfigMixin, PredictionMixin, Pyda
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"""
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# Check for simulation integrity
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if (
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self.gesamtlast is None
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or self.pv_prognose_wh is None
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or self.strompreis_euro_pro_wh is None
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self.load_energy_array is None
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or self.pv_prediction_wh is None
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or self.elect_price_hourly is None
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or self.ev_charge_hours is None
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or self.ac_charge_hours is None
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or self.dc_charge_hours is None
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or self.einspeiseverguetung_euro_pro_wh_arr is None
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or self.elect_revenue_per_hour_arr is None
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):
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error_msg = (
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f"Mandatory data missing - "
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f"Load Curve: {self.gesamtlast}, "
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f"PV Forecast: {self.pv_prognose_wh}, "
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f"Electricity Price: {self.strompreis_euro_pro_wh}, "
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f"Load Curve: {self.load_energy_array}, "
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f"PV Forecast: {self.pv_prediction_wh}, "
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f"Electricity Price: {self.elect_price_hourly}, "
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f"EV Charge Hours: {self.ev_charge_hours}, "
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f"AC Charge Hours: {self.ac_charge_hours}, "
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f"DC Charge Hours: {self.dc_charge_hours}, "
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f"Feed-in tariff: {self.einspeiseverguetung_euro_pro_wh_arr}"
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f"Feed-in tariff: {self.elect_revenue_per_hour_arr}"
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)
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logger.error(error_msg)
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raise ValueError(error_msg)
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lastkurve_wh = self.gesamtlast
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load_energy_array = self.load_energy_array
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if not (len(lastkurve_wh) == len(self.pv_prognose_wh) == len(self.strompreis_euro_pro_wh)):
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error_msg = f"Array sizes do not match: Load Curve = {len(lastkurve_wh)}, PV Forecast = {len(self.pv_prognose_wh)}, Electricity Price = {len(self.strompreis_euro_pro_wh)}"
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if not (
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len(load_energy_array) == len(self.pv_prediction_wh) == len(self.elect_price_hourly)
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):
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error_msg = f"Array sizes do not match: Load Curve = {len(load_energy_array)}, PV Forecast = {len(self.pv_prediction_wh)}, Electricity Price = {len(self.elect_price_hourly)}"
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logger.error(error_msg)
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raise ValueError(error_msg)
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# Optimized total hours calculation
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ende = len(lastkurve_wh)
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total_hours = ende - start_stunde
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end_hour = len(load_energy_array)
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total_hours = end_hour - start_hour
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# Pre-allocate arrays for the results, optimized for speed
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last_wh_pro_stunde = np.full((total_hours), np.nan)
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netzeinspeisung_wh_pro_stunde = np.full((total_hours), np.nan)
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netzbezug_wh_pro_stunde = np.full((total_hours), np.nan)
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kosten_euro_pro_stunde = np.full((total_hours), np.nan)
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einnahmen_euro_pro_stunde = np.full((total_hours), np.nan)
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akku_soc_pro_stunde = np.full((total_hours), np.nan)
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eauto_soc_pro_stunde = np.full((total_hours), np.nan)
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verluste_wh_pro_stunde = np.full((total_hours), np.nan)
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loads_energy_per_hour = np.full((total_hours), np.nan)
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feedin_energy_per_hour = np.full((total_hours), np.nan)
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consumption_energy_per_hour = np.full((total_hours), np.nan)
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costs_per_hour = np.full((total_hours), np.nan)
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revenue_per_hour = np.full((total_hours), np.nan)
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soc_per_hour = np.full((total_hours), np.nan) # Hour End State
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soc_ev_per_hour = np.full((total_hours), np.nan)
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losses_wh_per_hour = np.full((total_hours), np.nan)
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home_appliance_wh_per_hour = np.full((total_hours), np.nan)
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electricity_price_per_hour = np.full((total_hours), np.nan)
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# Set initial state
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if self.akku:
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akku_soc_pro_stunde[0] = self.akku.current_soc_percentage()
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if self.eauto:
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eauto_soc_pro_stunde[0] = self.eauto.current_soc_percentage()
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if self.battery:
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soc_per_hour[0] = self.battery.current_soc_percentage()
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if self.ev:
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soc_ev_per_hour[0] = self.ev.current_soc_percentage()
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for stunde in range(start_stunde, ende):
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stunde_since_now = stunde - start_stunde
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for hour in range(start_hour, end_hour):
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hour_since_now = hour - start_hour
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# save begin states
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if self.battery:
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soc_per_hour[hour_since_now] = self.battery.current_soc_percentage()
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else:
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soc_per_hour[hour_since_now] = 0.0
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if self.ev:
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soc_ev_per_hour[hour_since_now] = self.ev.current_soc_percentage()
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# Accumulate loads and PV generation
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verbrauch = self.gesamtlast[stunde]
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verluste_wh_pro_stunde[stunde_since_now] = 0.0
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consumption = self.load_energy_array[hour]
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losses_wh_per_hour[hour_since_now] = 0.0
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# Home appliances
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if self.home_appliance:
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ha_load = self.home_appliance.get_load_for_hour(stunde)
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verbrauch += ha_load
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home_appliance_wh_per_hour[stunde_since_now] = ha_load
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ha_load = self.home_appliance.get_load_for_hour(hour)
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consumption += ha_load
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home_appliance_wh_per_hour[hour_since_now] = ha_load
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# E-Auto handling
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if self.eauto:
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if self.ev_charge_hours[stunde] > 0:
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geladene_menge_eauto, verluste_eauto = self.eauto.charge_energy(
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None, stunde, relative_power=self.ev_charge_hours[stunde]
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if self.ev:
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if self.ev_charge_hours[hour] > 0:
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loaded_energy_ev, verluste_eauto = self.ev.charge_energy(
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None, hour, relative_power=self.ev_charge_hours[hour]
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)
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verbrauch += geladene_menge_eauto
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verluste_wh_pro_stunde[stunde_since_now] += verluste_eauto
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eauto_soc_pro_stunde[stunde_since_now] = self.eauto.current_soc_percentage()
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consumption += loaded_energy_ev
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losses_wh_per_hour[hour_since_now] += verluste_eauto
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# Process inverter logic
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netzeinspeisung, netzbezug, verluste, eigenverbrauch = (0.0, 0.0, 0.0, 0.0)
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if self.akku:
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self.akku.set_charge_allowed_for_hour(self.dc_charge_hours[stunde], stunde)
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if self.inverter:
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erzeugung = self.pv_prognose_wh[stunde]
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netzeinspeisung, netzbezug, verluste, eigenverbrauch = self.inverter.process_energy(
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erzeugung, verbrauch, stunde
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energy_feedin_grid_actual, energy_consumption_grid_actual, losses, eigenverbrauch = (
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0.0,
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0.0,
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0.0,
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0.0,
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)
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if self.battery:
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self.battery.set_charge_allowed_for_hour(self.dc_charge_hours[hour], hour)
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if self.inverter:
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energy_produced = self.pv_prediction_wh[hour]
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(
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energy_feedin_grid_actual,
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energy_consumption_grid_actual,
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losses,
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eigenverbrauch,
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) = self.inverter.process_energy(energy_produced, consumption, hour)
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# AC PV Battery Charge
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if self.akku and self.ac_charge_hours[stunde] > 0.0:
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self.akku.set_charge_allowed_for_hour(1, stunde)
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geladene_menge, verluste_wh = self.akku.charge_energy(
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None, stunde, relative_power=self.ac_charge_hours[stunde]
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if self.battery and self.ac_charge_hours[hour] > 0.0:
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self.battery.set_charge_allowed_for_hour(1, hour)
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battery_charged_energy_actual, battery_losses_actual = self.battery.charge_energy(
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None, hour, relative_power=self.ac_charge_hours[hour]
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)
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# print(stunde, " ", geladene_menge, " ",self.ac_charge_hours[stunde]," ",self.akku.current_soc_percentage())
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verbrauch += geladene_menge
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verbrauch += verluste_wh
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netzbezug += geladene_menge
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netzbezug += verluste_wh
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verluste_wh_pro_stunde[stunde_since_now] += verluste_wh
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# print(hour, " ", battery_charged_energy_actual, " ",self.ac_charge_hours[hour]," ",self.battery.current_soc_percentage())
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consumption += battery_charged_energy_actual
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consumption += battery_losses_actual
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energy_consumption_grid_actual += battery_charged_energy_actual
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energy_consumption_grid_actual += battery_losses_actual
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losses_wh_per_hour[hour_since_now] += battery_losses_actual
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netzeinspeisung_wh_pro_stunde[stunde_since_now] = netzeinspeisung
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netzbezug_wh_pro_stunde[stunde_since_now] = netzbezug
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verluste_wh_pro_stunde[stunde_since_now] += verluste
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last_wh_pro_stunde[stunde_since_now] = verbrauch
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electricity_price_per_hour[stunde_since_now] = self.strompreis_euro_pro_wh[stunde]
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feedin_energy_per_hour[hour_since_now] = energy_feedin_grid_actual
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consumption_energy_per_hour[hour_since_now] = energy_consumption_grid_actual
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losses_wh_per_hour[hour_since_now] += losses
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loads_energy_per_hour[hour_since_now] = consumption
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electricity_price_per_hour[hour_since_now] = self.elect_price_hourly[hour]
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# Financial calculations
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kosten_euro_pro_stunde[stunde_since_now] = (
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netzbezug * self.strompreis_euro_pro_wh[stunde]
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costs_per_hour[hour_since_now] = (
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energy_consumption_grid_actual * self.elect_price_hourly[hour]
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)
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einnahmen_euro_pro_stunde[stunde_since_now] = (
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netzeinspeisung * self.einspeiseverguetung_euro_pro_wh_arr[stunde]
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revenue_per_hour[hour_since_now] = (
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energy_feedin_grid_actual * self.elect_revenue_per_hour_arr[hour]
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)
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# Akku SOC tracking
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if self.akku:
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akku_soc_pro_stunde[stunde_since_now] = self.akku.current_soc_percentage()
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else:
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akku_soc_pro_stunde[stunde_since_now] = 0.0
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# Total cost and return
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gesamtkosten_euro = np.nansum(kosten_euro_pro_stunde) - np.nansum(einnahmen_euro_pro_stunde)
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gesamtkosten_euro = np.nansum(costs_per_hour) - np.nansum(revenue_per_hour)
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# Prepare output dictionary
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out: Dict[str, Union[np.ndarray, float]] = {
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"Last_Wh_pro_Stunde": last_wh_pro_stunde,
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"Netzeinspeisung_Wh_pro_Stunde": netzeinspeisung_wh_pro_stunde,
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"Netzbezug_Wh_pro_Stunde": netzbezug_wh_pro_stunde,
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"Kosten_Euro_pro_Stunde": kosten_euro_pro_stunde,
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"akku_soc_pro_stunde": akku_soc_pro_stunde,
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"Einnahmen_Euro_pro_Stunde": einnahmen_euro_pro_stunde,
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"Last_Wh_pro_Stunde": loads_energy_per_hour,
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"Netzeinspeisung_Wh_pro_Stunde": feedin_energy_per_hour,
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"Netzbezug_Wh_pro_Stunde": consumption_energy_per_hour,
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"Kosten_Euro_pro_Stunde": costs_per_hour,
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"akku_soc_pro_stunde": soc_per_hour,
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"Einnahmen_Euro_pro_Stunde": revenue_per_hour,
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"Gesamtbilanz_Euro": gesamtkosten_euro,
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"EAuto_SoC_pro_Stunde": eauto_soc_pro_stunde,
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"Gesamteinnahmen_Euro": np.nansum(einnahmen_euro_pro_stunde),
|
||||
"Gesamtkosten_Euro": np.nansum(kosten_euro_pro_stunde),
|
||||
"Verluste_Pro_Stunde": verluste_wh_pro_stunde,
|
||||
"Gesamt_Verluste": np.nansum(verluste_wh_pro_stunde),
|
||||
"EAuto_SoC_pro_Stunde": soc_ev_per_hour,
|
||||
"Gesamteinnahmen_Euro": np.nansum(revenue_per_hour),
|
||||
"Gesamtkosten_Euro": np.nansum(costs_per_hour),
|
||||
"Verluste_Pro_Stunde": losses_wh_per_hour,
|
||||
"Gesamt_Verluste": np.nansum(losses_wh_per_hour),
|
||||
"Home_appliance_wh_per_hour": home_appliance_wh_per_hour,
|
||||
"Electricity_price": electricity_price_per_hour,
|
||||
}
|
||||
|
@ -15,7 +15,7 @@
|
||||
"loadakkudoktor_year_energy": null,
|
||||
"longitude": null,
|
||||
"optimization_ev_available_charge_rates_percent": [],
|
||||
"optimization_hours": 24,
|
||||
"optimization_hours": 48,
|
||||
"optimization_penalty": null,
|
||||
"prediction_historic_hours": 48,
|
||||
"prediction_hours": 48,
|
||||
|
@ -160,20 +160,20 @@ class Devices(SingletonMixin, DevicesBase):
|
||||
# Devices
|
||||
# TODO: Make devices class a container of device simulation providers.
|
||||
# Device simulations to be used are then enabled in the configuration.
|
||||
akku: ClassVar[Battery] = Battery(provider_id="GenericBattery")
|
||||
eauto: ClassVar[Battery] = Battery(provider_id="GenericBEV")
|
||||
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=SelfConsumptionPropabilityInterpolator,
|
||||
akku=akku,
|
||||
battery=battery,
|
||||
provider_id="GenericInverter",
|
||||
)
|
||||
|
||||
def update_data(self) -> None:
|
||||
"""Update device simulation data."""
|
||||
# Assure devices are set up
|
||||
self.akku.setup()
|
||||
self.eauto.setup()
|
||||
self.battery.setup()
|
||||
self.ev.setup()
|
||||
self.home_appliance.setup()
|
||||
self.inverter.setup()
|
||||
|
||||
@ -190,10 +190,10 @@ class Devices(SingletonMixin, DevicesBase):
|
||||
|
||||
# Set initial state
|
||||
simulation_step = to_duration("1 hour")
|
||||
if self.akku:
|
||||
self.akku_soc_pro_stunde[0] = self.akku.current_soc_percentage()
|
||||
if self.eauto:
|
||||
self.eauto_soc_pro_stunde[0] = self.eauto.current_soc_percentage()
|
||||
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]
|
||||
@ -235,19 +235,19 @@ class Devices(SingletonMixin, DevicesBase):
|
||||
self.home_appliance_wh_per_hour[stunde_since_now] = ha_load
|
||||
|
||||
# E-Auto handling
|
||||
if self.eauto:
|
||||
if self.ev:
|
||||
if self.ev_charge_hours[hour] > 0:
|
||||
geladene_menge_eauto, verluste_eauto = self.eauto.charge_energy(
|
||||
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.eauto.current_soc_percentage()
|
||||
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.akku:
|
||||
self.akku.set_charge_allowed_for_hour(self.dc_charge_hours[hour], hour)
|
||||
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(
|
||||
@ -255,12 +255,12 @@ class Devices(SingletonMixin, DevicesBase):
|
||||
)
|
||||
|
||||
# AC PV Battery Charge
|
||||
if self.akku and self.ac_charge_hours[hour] > 0.0:
|
||||
self.akku.set_charge_allowed_for_hour(1, hour)
|
||||
geladene_menge, verluste_wh = self.akku.charge_energy(
|
||||
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.akku.current_soc_percentage())
|
||||
# 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
|
||||
@ -278,9 +278,9 @@ class Devices(SingletonMixin, DevicesBase):
|
||||
grid_export * self.einspeiseverguetung_euro_pro_wh_arr[hour]
|
||||
)
|
||||
|
||||
# Akku SOC tracking
|
||||
if self.akku:
|
||||
self.akku_soc_pro_stunde[stunde_since_now] = self.akku.current_soc_percentage()
|
||||
# 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
|
||||
|
||||
|
@ -19,7 +19,7 @@ class Inverter(DeviceBase):
|
||||
self,
|
||||
self_consumption_predictor: RegularGridInterpolator,
|
||||
parameters: Optional[InverterParameters] = None,
|
||||
akku: Optional[Battery] = None,
|
||||
battery: Optional[Battery] = None,
|
||||
provider_id: Optional[str] = None,
|
||||
):
|
||||
# Configuration initialisation
|
||||
@ -29,13 +29,13 @@ class Inverter(DeviceBase):
|
||||
self.prefix = "inverter"
|
||||
# Parameter initialisiation
|
||||
self.parameters = parameters
|
||||
if akku is None:
|
||||
if battery is None:
|
||||
# For the moment raise exception
|
||||
# TODO: Make akku configurable by config
|
||||
# TODO: Make battery configurable by config
|
||||
error_msg = "Battery for PV inverter is mandatory."
|
||||
logger.error(error_msg)
|
||||
raise NotImplementedError(error_msg)
|
||||
self.akku = akku # Connection to a battery object
|
||||
self.battery = battery # Connection to a battery object
|
||||
self.self_consumption_predictor = self_consumption_predictor
|
||||
|
||||
self.initialised = False
|
||||
@ -86,7 +86,7 @@ class Inverter(DeviceBase):
|
||||
|
||||
if remaining_load_evq > 0:
|
||||
# Akku muss den Restverbrauch decken
|
||||
from_battery, discharge_losses = self.akku.discharge_energy(
|
||||
from_battery, discharge_losses = self.battery.discharge_energy(
|
||||
remaining_load_evq, hour
|
||||
)
|
||||
remaining_load_evq -= from_battery # Restverbrauch nach Akkuentladung
|
||||
@ -101,7 +101,9 @@ class Inverter(DeviceBase):
|
||||
|
||||
if remaining_power > 0:
|
||||
# Load battery with excess energy
|
||||
charged_energie, charge_losses = self.akku.charge_energy(remaining_power, hour)
|
||||
charged_energie, charge_losses = self.battery.charge_energy(
|
||||
remaining_power, hour
|
||||
)
|
||||
remaining_surplus = remaining_power - (charged_energie + charge_losses)
|
||||
|
||||
# Feed-in to the grid based on remaining capacity
|
||||
@ -122,7 +124,7 @@ class Inverter(DeviceBase):
|
||||
available_ac_power = max(self.max_power_wh - generation, 0)
|
||||
|
||||
# Discharge battery to cover shortfall, if possible
|
||||
battery_discharge, discharge_losses = self.akku.discharge_energy(
|
||||
battery_discharge, discharge_losses = self.battery.discharge_energy(
|
||||
min(shortfall, available_ac_power), hour
|
||||
)
|
||||
losses += discharge_losses
|
||||
|
@ -388,7 +388,7 @@ class optimization_problem(ConfigMixin, DevicesMixin, EnergyManagementSystemMixi
|
||||
else:
|
||||
self.ems.set_ev_charge_hours(np.full(self.config.prediction_hours, 0))
|
||||
|
||||
return self.ems.simuliere(self.ems.start_datetime.hour)
|
||||
return self.ems.simulate(self.ems.start_datetime.hour)
|
||||
|
||||
def evaluate(
|
||||
self,
|
||||
@ -441,14 +441,14 @@ class optimization_problem(ConfigMixin, DevicesMixin, EnergyManagementSystemMixi
|
||||
individual.extra_data = ( # type: ignore[attr-defined]
|
||||
o["Gesamtbilanz_Euro"],
|
||||
o["Gesamt_Verluste"],
|
||||
parameters.eauto.min_soc_percentage - self.ems.eauto.current_soc_percentage()
|
||||
if parameters.eauto and self.ems.eauto
|
||||
parameters.eauto.min_soc_percentage - self.ems.ev.current_soc_percentage()
|
||||
if parameters.eauto and self.ems.ev
|
||||
else 0,
|
||||
)
|
||||
|
||||
# Adjust total balance with battery value and penalties for unmet SOC
|
||||
restwert_akku = (
|
||||
self.ems.akku.current_energy_content() * parameters.ems.preis_euro_pro_wh_akku
|
||||
self.ems.battery.current_energy_content() * parameters.ems.preis_euro_pro_wh_akku
|
||||
)
|
||||
gesamtbilanz += -restwert_akku
|
||||
|
||||
@ -456,8 +456,8 @@ class optimization_problem(ConfigMixin, DevicesMixin, EnergyManagementSystemMixi
|
||||
gesamtbilanz += max(
|
||||
0,
|
||||
(
|
||||
parameters.eauto.min_soc_percentage - self.ems.eauto.current_soc_percentage()
|
||||
if parameters.eauto and self.ems.eauto
|
||||
parameters.eauto.min_soc_percentage - self.ems.ev.current_soc_percentage()
|
||||
if parameters.eauto and self.ems.ev
|
||||
else 0
|
||||
)
|
||||
* self.config.optimization_penalty,
|
||||
@ -565,7 +565,7 @@ class optimization_problem(ConfigMixin, DevicesMixin, EnergyManagementSystemMixi
|
||||
self.ems.set_parameters(
|
||||
parameters.ems,
|
||||
inverter=inverter,
|
||||
eauto=eauto,
|
||||
ev=eauto,
|
||||
home_appliance=dishwasher,
|
||||
)
|
||||
self.ems.set_start_hour(start_hour)
|
||||
@ -606,7 +606,7 @@ class optimization_problem(ConfigMixin, DevicesMixin, EnergyManagementSystemMixi
|
||||
"discharge_allowed": discharge.tolist(),
|
||||
"eautocharge_hours_float": eautocharge_hours_float,
|
||||
"result": o,
|
||||
"eauto_obj": self.ems.eauto.to_dict(),
|
||||
"eauto_obj": self.ems.ev.to_dict(),
|
||||
"start_solution": start_solution,
|
||||
"spuelstart": washingstart_int,
|
||||
"extra_data": extra_data,
|
||||
@ -622,7 +622,7 @@ class optimization_problem(ConfigMixin, DevicesMixin, EnergyManagementSystemMixi
|
||||
"discharge_allowed": discharge,
|
||||
"eautocharge_hours_float": eautocharge_hours_float,
|
||||
"result": SimulationResult(**o),
|
||||
"eauto_obj": self.ems.eauto,
|
||||
"eauto_obj": self.ems.ev,
|
||||
"start_solution": start_solution,
|
||||
"washingstart": washingstart_int,
|
||||
}
|
||||
|
@ -239,7 +239,7 @@ def create_ems_instance() -> EnergieManagementSystem:
|
||||
gesamtlast=gesamtlast,
|
||||
),
|
||||
inverter=inverter,
|
||||
eauto=eauto,
|
||||
ev=eauto,
|
||||
home_appliance=home_appliance,
|
||||
)
|
||||
|
||||
@ -252,7 +252,7 @@ def test_simulation(create_ems_instance):
|
||||
|
||||
# Simulate starting from hour 1 (this value can be adjusted)
|
||||
|
||||
result = ems.simuliere(start_stunde=start_hour)
|
||||
result = ems.simulate(start_hour=start_hour)
|
||||
|
||||
# visualisiere_ergebnisse(
|
||||
# ems.gesamtlast,
|
||||
@ -338,11 +338,11 @@ def test_simulation(create_ems_instance):
|
||||
|
||||
# Check the values in 'akku_soc_pro_stunde'
|
||||
assert (
|
||||
result["akku_soc_pro_stunde"][-1] == 28.675
|
||||
), "The value at index -1 of 'akku_soc_pro_stunde' should be 28.675."
|
||||
result["akku_soc_pro_stunde"][-1] == 42.151590909090906
|
||||
), "The value at index -1 of 'akku_soc_pro_stunde' should be 42.151590909090906."
|
||||
assert (
|
||||
result["akku_soc_pro_stunde"][1] == 25.379090909090905
|
||||
), "The value at index 1 of 'akku_soc_pro_stunde' should be 25.379090909090905."
|
||||
result["akku_soc_pro_stunde"][1] == 60.08659090909091
|
||||
), "The value at index 1 of 'akku_soc_pro_stunde' should be 60.08659090909091."
|
||||
|
||||
# Check home appliances
|
||||
assert (
|
||||
|
@ -144,7 +144,7 @@ def create_ems_instance() -> EnergieManagementSystem:
|
||||
gesamtlast=gesamtlast,
|
||||
),
|
||||
inverter=inverter,
|
||||
eauto=eauto,
|
||||
ev=eauto,
|
||||
home_appliance=home_appliance,
|
||||
)
|
||||
|
||||
@ -163,7 +163,7 @@ def test_simulation(create_ems_instance):
|
||||
ems = create_ems_instance
|
||||
|
||||
# Simulate starting from hour 0 (this value can be adjusted)
|
||||
result = ems.simuliere(start_stunde=start_hour)
|
||||
result = ems.simulate(start_hour=start_hour)
|
||||
|
||||
# --- Pls do not remove! ---
|
||||
# visualisiere_ergebnisse(
|
||||
@ -233,12 +233,12 @@ def test_simulation(create_ems_instance):
|
||||
), "The length of 'akku_soc_pro_stunde' should be 48."
|
||||
|
||||
# Verfify DC and AC Charge Bins
|
||||
assert (
|
||||
abs(result["akku_soc_pro_stunde"][2] - 44.70681818181818) < 1e-5
|
||||
), "'akku_soc_pro_stunde[2]' should be 44.70681818181818."
|
||||
assert (
|
||||
abs(result["akku_soc_pro_stunde"][10] - 10.0) < 1e-5
|
||||
), "'akku_soc_pro_stunde[10]' should be 10."
|
||||
assert (
|
||||
abs(result["akku_soc_pro_stunde"][11] - 79.275184) < 1e-5
|
||||
), "'akku_soc_pro_stunde[11]' should be 79.275184."
|
||||
|
||||
assert (
|
||||
abs(result["Netzeinspeisung_Wh_pro_Stunde"][10] - 3946.93) < 1e-3
|
||||
@ -249,8 +249,8 @@ def test_simulation(create_ems_instance):
|
||||
), "'Netzeinspeisung_Wh_pro_Stunde[11]' should be 0.0."
|
||||
|
||||
assert (
|
||||
abs(result["akku_soc_pro_stunde"][20] - 98) < 1e-5
|
||||
), "'akku_soc_pro_stunde[11]' should be 98."
|
||||
abs(result["akku_soc_pro_stunde"][20] - 10) < 1e-5
|
||||
), "'akku_soc_pro_stunde[20]' should be 10."
|
||||
assert (
|
||||
abs(result["Last_Wh_pro_Stunde"][20] - 6050.98) < 1e-3
|
||||
), "'Netzeinspeisung_Wh_pro_Stunde[11]' should be 0.0."
|
||||
|
@ -44,7 +44,7 @@ def test_optimize(fn_in: str, fn_out: str, ngen: int, is_full_run: bool):
|
||||
"""Test optimierung_ems."""
|
||||
# Assure configuration holds the correct values
|
||||
config_eos = get_config()
|
||||
config_eos.merge_settings_from_dict({"prediction_hours": 48, "optimization_hours": 24})
|
||||
config_eos.merge_settings_from_dict({"prediction_hours": 48, "optimization_hours": 48})
|
||||
|
||||
# Load input and output data
|
||||
file = DIR_TESTDATA / fn_in
|
||||
|
@ -25,7 +25,7 @@ def inverter(mock_battery):
|
||||
/ "data"
|
||||
/ "regular_grid_interpolator.pkl"
|
||||
)
|
||||
return Inverter(sc, InverterParameters(max_power_wh=500.0), akku=mock_battery)
|
||||
return Inverter(sc, InverterParameters(max_power_wh=500.0), battery=mock_battery)
|
||||
|
||||
|
||||
def test_process_energy_excess_generation(inverter, mock_battery):
|
||||
|
216
tests/testdata/optimize_input_2.json
vendored
216
tests/testdata/optimize_input_2.json
vendored
@ -1,34 +1,162 @@
|
||||
{
|
||||
"ems": {
|
||||
"preis_euro_pro_wh_akku": 0.0001,
|
||||
"preis_euro_pro_wh_akku": 0.0,
|
||||
"einspeiseverguetung_euro_pro_wh": 0.00007,
|
||||
"gesamtlast": [
|
||||
676.71, 876.19, 527.13, 468.88, 531.38, 517.95, 483.15, 472.28, 1011.68, 995.00,
|
||||
1053.07, 1063.91, 1320.56, 1132.03, 1163.67, 1176.82, 1216.22, 1103.78, 1129.12,
|
||||
1178.71, 1050.98, 988.56, 912.38, 704.61, 516.37, 868.05, 694.34, 608.79, 556.31,
|
||||
488.89, 506.91, 804.89, 1141.98, 1056.97, 992.46, 1155.99, 827.01, 1257.98, 1232.67,
|
||||
871.26, 860.88, 1158.03, 1222.72, 1221.04, 949.99, 987.01, 733.99, 592.97
|
||||
676.71,
|
||||
876.19,
|
||||
527.13,
|
||||
468.88,
|
||||
531.38,
|
||||
517.95,
|
||||
483.15,
|
||||
472.28,
|
||||
1011.68,
|
||||
995.0,
|
||||
1053.07,
|
||||
1063.91,
|
||||
1320.56,
|
||||
1132.03,
|
||||
1163.67,
|
||||
1176.82,
|
||||
1216.22,
|
||||
1103.78,
|
||||
1129.12,
|
||||
1178.71,
|
||||
1050.98,
|
||||
988.56,
|
||||
912.38,
|
||||
704.61,
|
||||
516.37,
|
||||
868.05,
|
||||
694.34,
|
||||
608.79,
|
||||
556.31,
|
||||
488.89,
|
||||
506.91,
|
||||
804.89,
|
||||
1141.98,
|
||||
1056.97,
|
||||
992.46,
|
||||
1155.99,
|
||||
827.01,
|
||||
1257.98,
|
||||
1232.67,
|
||||
871.26,
|
||||
860.88,
|
||||
1158.03,
|
||||
1222.72,
|
||||
1221.04,
|
||||
949.99,
|
||||
987.01,
|
||||
733.99,
|
||||
592.97
|
||||
],
|
||||
"pv_prognose_wh": [
|
||||
0, 0, 0, 0, 0, 0, 0, 8.05, 352.91, 728.51, 930.28, 1043.25, 1106.74, 1161.69,
|
||||
6018.82, 5519.07, 3969.88, 3017.96, 1943.07, 1007.17, 319.67, 7.88, 0, 0, 0, 0,
|
||||
0, 0, 0, 0, 0, 5.04, 335.59, 705.32, 1121.12, 1604.79, 2157.38, 1433.25, 5718.49,
|
||||
4553.96, 3027.55, 2574.46, 1720.4, 963.4, 383.3, 0, 0, 0
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
8.05,
|
||||
352.91,
|
||||
728.51,
|
||||
930.28,
|
||||
1043.25,
|
||||
1106.74,
|
||||
1161.69,
|
||||
6018.82,
|
||||
5519.07,
|
||||
3969.88,
|
||||
3017.96,
|
||||
1943.07,
|
||||
1007.17,
|
||||
319.67,
|
||||
7.88,
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
5.04,
|
||||
335.59,
|
||||
705.32,
|
||||
1121.12,
|
||||
1604.79,
|
||||
2157.38,
|
||||
1433.25,
|
||||
5718.49,
|
||||
4553.96,
|
||||
3027.55,
|
||||
2574.46,
|
||||
1720.4,
|
||||
963.4,
|
||||
383.3,
|
||||
0,
|
||||
0,
|
||||
0
|
||||
],
|
||||
"strompreis_euro_pro_wh": [
|
||||
0.0003384, 0.0003318, 0.0003284, 0.0003283, 0.0003289, 0.0003334, 0.0003290,
|
||||
0.0003302, 0.0003042, 0.0002430, 0.0002280, 0.0002212, 0.0002093, 0.0001879,
|
||||
0.0001838, 0.0002004, 0.0002198, 0.0002270, 0.0002997, 0.0003195, 0.0003081,
|
||||
0.0002969, 0.0002921, 0.0002780, 0.0003384, 0.0003318, 0.0003284, 0.0003283,
|
||||
0.0003289, 0.0003334, 0.0003290, 0.0003302, 0.0003042, 0.0002430, 0.0002280,
|
||||
0.0002212, 0.0002093, 0.0001879, 0.0001838, 0.0002004, 0.0002198, 0.0002270,
|
||||
0.0002997, 0.0003195, 0.0003081, 0.0002969, 0.0002921, 0.0002780
|
||||
0.0003384,
|
||||
0.0003318,
|
||||
0.0003284,
|
||||
0.0003283,
|
||||
0.0003289,
|
||||
0.0003334,
|
||||
0.000329,
|
||||
0.0003302,
|
||||
0.0003042,
|
||||
0.000243,
|
||||
0.000228,
|
||||
0.0002212,
|
||||
0.0002093,
|
||||
0.0001879,
|
||||
0.0001838,
|
||||
0.0002004,
|
||||
0.0002198,
|
||||
0.000227,
|
||||
0.0002997,
|
||||
0.0003195,
|
||||
0.0003081,
|
||||
0.0002969,
|
||||
0.0002921,
|
||||
0.000278,
|
||||
0.0003384,
|
||||
0.0003318,
|
||||
0.0003284,
|
||||
0.0003283,
|
||||
0.0003289,
|
||||
0.0003334,
|
||||
0.000329,
|
||||
0.0003302,
|
||||
0.0003042,
|
||||
0.000243,
|
||||
0.000228,
|
||||
0.0002212,
|
||||
0.0002093,
|
||||
0.0001879,
|
||||
0.0001838,
|
||||
0.0002004,
|
||||
0.0002198,
|
||||
0.000227,
|
||||
0.0002997,
|
||||
0.0003195,
|
||||
0.0003081,
|
||||
0.0002969,
|
||||
0.0002921,
|
||||
0.000278
|
||||
]
|
||||
},
|
||||
"pv_akku": {
|
||||
"capacity_wh": 26400,
|
||||
"initial_soc_percentage": 80,
|
||||
"min_soc_percentage": 15
|
||||
"min_soc_percentage": 0
|
||||
},
|
||||
"eauto": {
|
||||
"capacity_wh": 60000,
|
||||
@ -42,10 +170,54 @@
|
||||
"duration_h": 2
|
||||
},
|
||||
"temperature_forecast": [
|
||||
18.3, 17.8, 16.9, 16.2, 15.6, 15.1, 14.6, 14.2, 14.3, 14.8, 15.7, 16.7, 17.4,
|
||||
18.0, 18.6, 19.2, 19.1, 18.7, 18.5, 17.7, 16.2, 14.6, 13.6, 13.0, 12.6, 12.2,
|
||||
11.7, 11.6, 11.3, 11.0, 10.7, 10.2, 11.4, 14.4, 16.4, 18.3, 19.5, 20.7, 21.9,
|
||||
22.7, 23.1, 23.1, 22.8, 21.8, 20.2, 19.1, 18.0, 17.4
|
||||
18.3,
|
||||
17.8,
|
||||
16.9,
|
||||
16.2,
|
||||
15.6,
|
||||
15.1,
|
||||
14.6,
|
||||
14.2,
|
||||
14.3,
|
||||
14.8,
|
||||
15.7,
|
||||
16.7,
|
||||
17.4,
|
||||
18.0,
|
||||
18.6,
|
||||
19.2,
|
||||
19.1,
|
||||
18.7,
|
||||
18.5,
|
||||
17.7,
|
||||
16.2,
|
||||
14.6,
|
||||
13.6,
|
||||
13.0,
|
||||
12.6,
|
||||
12.2,
|
||||
11.7,
|
||||
11.6,
|
||||
11.3,
|
||||
11.0,
|
||||
10.7,
|
||||
10.2,
|
||||
11.4,
|
||||
14.4,
|
||||
16.4,
|
||||
18.3,
|
||||
19.5,
|
||||
20.7,
|
||||
21.9,
|
||||
22.7,
|
||||
23.1,
|
||||
23.1,
|
||||
22.8,
|
||||
21.8,
|
||||
20.2,
|
||||
19.1,
|
||||
18.0,
|
||||
17.4
|
||||
],
|
||||
"start_solution": null
|
||||
}
|
||||
|
2
tests/testdata/optimize_result_1.json
vendored
2
tests/testdata/optimize_result_1.json
vendored
@ -476,6 +476,7 @@
|
||||
0.0
|
||||
],
|
||||
"akku_soc_pro_stunde": [
|
||||
80.0,
|
||||
80.0,
|
||||
79.91107093663912,
|
||||
79.91107093663912,
|
||||
@ -512,7 +513,6 @@
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
96.84060778236915,
|
||||
96.84060778236915
|
||||
],
|
||||
"Electricity_price": [
|
||||
|
124
tests/testdata/optimize_result_2.json
vendored
124
tests/testdata/optimize_result_2.json
vendored
@ -170,7 +170,7 @@
|
||||
0.0,
|
||||
0.5,
|
||||
0.625,
|
||||
0.0,
|
||||
0.75,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
@ -211,7 +211,7 @@
|
||||
1103.78,
|
||||
6373.12,
|
||||
7733.71,
|
||||
1050.98,
|
||||
4299.98,
|
||||
988.56,
|
||||
912.38,
|
||||
704.61,
|
||||
@ -241,6 +241,7 @@
|
||||
592.97
|
||||
],
|
||||
"EAuto_SoC_pro_Stunde": [
|
||||
5.0,
|
||||
11.555,
|
||||
11.555,
|
||||
26.85,
|
||||
@ -251,34 +252,33 @@
|
||||
74.92,
|
||||
83.66,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585,
|
||||
94.585
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0,
|
||||
100.0
|
||||
],
|
||||
"Einnahmen_Euro_pro_Stunde": [
|
||||
0.0,
|
||||
@ -320,7 +320,7 @@
|
||||
0.0,
|
||||
0.0
|
||||
],
|
||||
"Gesamt_Verluste": 9258.73062020124,
|
||||
"Gesamt_Verluste": 9872.776074746695,
|
||||
"Gesamtbilanz_Euro": 12.332782378812306,
|
||||
"Gesamteinnahmen_Euro": 0.0,
|
||||
"Gesamtkosten_Euro": 12.332782378812306,
|
||||
@ -495,7 +495,7 @@
|
||||
230.91336797704525,
|
||||
880.0977272727268,
|
||||
1026.818181818182,
|
||||
99.72409090909093,
|
||||
713.7695454545456,
|
||||
133.72909090909081,
|
||||
124.41545454545451,
|
||||
96.08318181818186,
|
||||
@ -525,6 +525,7 @@
|
||||
0.0
|
||||
],
|
||||
"akku_soc_pro_stunde": [
|
||||
80.0,
|
||||
62.54222623966943,
|
||||
62.54222623966943,
|
||||
75.04222623966943,
|
||||
@ -535,34 +536,33 @@
|
||||
83.83265434833275,
|
||||
64.76391295714818,
|
||||
43.24187438965506,
|
||||
40.094017984696386,
|
||||
35.87277142822256,
|
||||
31.945515918580686,
|
||||
28.912587199572425,
|
||||
28.912587199572425,
|
||||
25.176146083869945,
|
||||
22.187423632079316,
|
||||
22.187423632079316,
|
||||
22.187423632079316,
|
||||
22.187423632079316,
|
||||
34.68742363207931,
|
||||
34.68742363207931,
|
||||
34.68742363207931,
|
||||
34.68742363207931,
|
||||
34.99947869620843,
|
||||
36.0696843420455,
|
||||
40.099841390631155,
|
||||
40.249843096950585,
|
||||
55.20257643028218,
|
||||
67.47251658502745,
|
||||
84.99550697329678,
|
||||
88.77022785443704,
|
||||
89.9213907145978,
|
||||
89.9213907145978,
|
||||
89.9213907145978,
|
||||
89.9213907145978,
|
||||
89.9213907145978,
|
||||
89.9213907145978
|
||||
26.108997323539356,
|
||||
21.88775076706553,
|
||||
17.96049525742366,
|
||||
14.927566538415393,
|
||||
14.927566538415393,
|
||||
11.191125422712915,
|
||||
8.20240297092228,
|
||||
8.20240297092228,
|
||||
8.20240297092228,
|
||||
8.20240297092228,
|
||||
20.70240297092228,
|
||||
20.70240297092228,
|
||||
20.70240297092228,
|
||||
20.70240297092228,
|
||||
21.014458035051405,
|
||||
22.08466368088848,
|
||||
26.114820729474133,
|
||||
26.264822435793555,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
75.93637005344077,
|
||||
75.93637005344077,
|
||||
75.93637005344077,
|
||||
75.93637005344077
|
||||
],
|
||||
"Electricity_price": [
|
||||
0.000228,
|
||||
@ -711,7 +711,7 @@
|
||||
"capacity_wh": 60000,
|
||||
"charging_efficiency": 0.95,
|
||||
"max_charge_power_w": 11040,
|
||||
"soc_wh": 56751.0,
|
||||
"soc_wh": 60000.0,
|
||||
"initial_soc_percentage": 5
|
||||
},
|
||||
"start_solution": [
|
||||
@ -783,7 +783,7 @@
|
||||
0.0,
|
||||
2.0,
|
||||
3.0,
|
||||
0.0,
|
||||
4.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
|
534
tests/testdata/optimize_result_2_full.json
vendored
534
tests/testdata/optimize_result_2_full.json
vendored
@ -3,15 +3,14 @@
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.375,
|
||||
0.0,
|
||||
0.875,
|
||||
0.0,
|
||||
0.375,
|
||||
0.0,
|
||||
1.0,
|
||||
1.0,
|
||||
0.75,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.5,
|
||||
0.0,
|
||||
0.0,
|
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0.0,
|
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0.0,
|
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@ -19,6 +18,7 @@
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
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0.5,
|
||||
0.0,
|
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|
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0.0,
|
||||
@ -100,32 +100,25 @@
|
||||
1.0
|
||||
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|
||||
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|
||||
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|
||||
0,
|
||||
1,
|
||||
0,
|
||||
1,
|
||||
0,
|
||||
1,
|
||||
0,
|
||||
0,
|
||||
1,
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
1,
|
||||
0,
|
||||
0,
|
||||
1,
|
||||
1,
|
||||
1,
|
||||
0,
|
||||
0,
|
||||
0,
|
||||
1,
|
||||
1,
|
||||
1,
|
||||
1,
|
||||
1,
|
||||
1,
|
||||
1,
|
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1,
|
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0,
|
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|
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|
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0,
|
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@ -135,12 +128,19 @@
|
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1,
|
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1,
|
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1,
|
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|
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|
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|
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1,
|
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|
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|
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|
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|
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|
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|
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|
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|
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@ -150,66 +150,66 @@
|
||||
1
|
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|
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|
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|
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0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
|
||||
0.0,
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||||
0.0,
|
||||
0.0,
|
||||
0.375,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.375,
|
||||
0.0,
|
||||
0.0,
|
||||
0.625,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
|
||||
0.0,
|
||||
0.0,
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||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
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||||
0.0,
|
||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
|
||||
0.0,
|
||||
0.0
|
||||
],
|
||||
"result": {
|
||||
"Last_Wh_pro_Stunde": [
|
||||
6297.07,
|
||||
8929.91,
|
||||
5253.5599999999995,
|
||||
3632.0299999999997,
|
||||
4986.07,
|
||||
1063.91,
|
||||
1320.56,
|
||||
8876.029999999999,
|
||||
8907.67,
|
||||
7731.82,
|
||||
11704.22,
|
||||
7658.78,
|
||||
1129.12,
|
||||
6460.22,
|
||||
6347.78,
|
||||
3629.12,
|
||||
1178.71,
|
||||
1050.98,
|
||||
988.56,
|
||||
@ -226,14 +226,14 @@
|
||||
1141.98,
|
||||
1056.97,
|
||||
992.46,
|
||||
1155.99,
|
||||
5088.99,
|
||||
827.01,
|
||||
1257.98,
|
||||
1232.67,
|
||||
871.26,
|
||||
4804.26,
|
||||
860.88,
|
||||
1158.03,
|
||||
1222.72,
|
||||
7777.72,
|
||||
1221.04,
|
||||
949.99,
|
||||
987.01,
|
||||
@ -241,39 +241,39 @@
|
||||
592.97
|
||||
],
|
||||
"EAuto_SoC_pro_Stunde": [
|
||||
13.74,
|
||||
26.85,
|
||||
33.405,
|
||||
33.405,
|
||||
42.144999999999996,
|
||||
53.06999999999999,
|
||||
5.0,
|
||||
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|
||||
11.555,
|
||||
11.555,
|
||||
20.294999999999998,
|
||||
29.035,
|
||||
39.96,
|
||||
48.699999999999996,
|
||||
57.440000000000005,
|
||||
57.440000000000005,
|
||||
57.440000000000005,
|
||||
57.440000000000005,
|
||||
57.440000000000005,
|
||||
57.440000000000005,
|
||||
57.440000000000005,
|
||||
57.440000000000005,
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||||
57.440000000000005,
|
||||
57.440000000000005,
|
||||
57.440000000000005,
|
||||
57.440000000000005,
|
||||
57.440000000000005,
|
||||
57.440000000000005,
|
||||
57.440000000000005,
|
||||
57.440000000000005,
|
||||
57.440000000000005,
|
||||
57.440000000000005,
|
||||
63.995000000000005,
|
||||
63.995000000000005,
|
||||
63.995000000000005,
|
||||
63.995000000000005,
|
||||
70.55,
|
||||
70.55,
|
||||
70.55,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
81.475,
|
||||
@ -320,10 +320,10 @@
|
||||
0.0,
|
||||
0.0
|
||||
],
|
||||
"Gesamt_Verluste": 6757.733989740087,
|
||||
"Gesamtbilanz_Euro": 6.952642478544519,
|
||||
"Gesamt_Verluste": 7755.845910804702,
|
||||
"Gesamtbilanz_Euro": 4.690157296412734,
|
||||
"Gesamteinnahmen_Euro": 0.0,
|
||||
"Gesamtkosten_Euro": 6.952642478544519,
|
||||
"Gesamtkosten_Euro": 4.690157296412734,
|
||||
"Home_appliance_wh_per_hour": [
|
||||
0.0,
|
||||
0.0,
|
||||
@ -365,18 +365,18 @@
|
||||
0.0
|
||||
],
|
||||
"Kosten_Euro_pro_Stunde": [
|
||||
1.22362812,
|
||||
1.7445291920000001,
|
||||
0.0,
|
||||
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|
||||
0.0,
|
||||
0.0,
|
||||
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|
||||
0.53097063,
|
||||
0.0,
|
||||
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||||
1.0534661399999998,
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||||
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|
||||
0.0,
|
||||
0.0,
|
||||
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||||
0.0,
|
||||
0.0,
|
||||
0.291163892,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
@ -386,37 +386,37 @@
|
||||
0.182970359,
|
||||
0.0,
|
||||
0.0,
|
||||
0.26411047,
|
||||
0.0,
|
||||
0.0,
|
||||
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|
||||
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|
||||
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||||
0.0,
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||||
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||||
0.0,
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||||
0.0,
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||||
0.05016012000000004,
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||||
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||||
0.0,
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||||
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
|
||||
0.0,
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||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0
|
||||
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|
||||
0.16484566
|
||||
],
|
||||
"Netzbezug_Wh_pro_Stunde": [
|
||||
5366.79,
|
||||
7886.66,
|
||||
0.0,
|
||||
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||||
0.0,
|
||||
0.0,
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
0.0,
|
||||
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||||
0.0,
|
||||
0.0,
|
||||
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|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
@ -426,23 +426,23 @@
|
||||
556.31,
|
||||
0.0,
|
||||
0.0,
|
||||
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||||
0.0,
|
||||
0.0,
|
||||
134.50143085334403,
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||||
35.04348076126204,
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||||
55.24167375040034,
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||||
0.0,
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||||
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||||
0.0,
|
||||
0.0,
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||||
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||||
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||||
0.0,
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||||
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0,
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||||
0.0
|
||||
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||||
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||||
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||||
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|
||||
0.0,
|
||||
@ -485,18 +485,18 @@
|
||||
0.0
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
@ -715,102 +715,102 @@
|
||||
"initial_soc_percentage": 5
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||||
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||||
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|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
1.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
1.0,
|
||||
0.0,
|
||||
0.0,
|
||||
3.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
0.0,
|
||||
13.0
|
||||
],
|
||||
"washingstart": 13
|
||||
|
Loading…
x
Reference in New Issue
Block a user