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Soc 1 hour shift fixed + some german -> english translations in ems
This commit is contained in:
Andreas
Andreas
parent
6aa2112da1
commit
82b9216be5
@ -150,7 +150,7 @@ class EnergieManagementSystem:
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start_stunde = jetzt.hour
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return self.simuliere(start_stunde)
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def simuliere(self, start_stunde: int) -> dict[str, Any]:
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def simuliere(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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@ -162,100 +162,101 @@ class EnergieManagementSystem:
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), 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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# 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(lastkurve_wh)
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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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akku_soc_pro_stunde[0] = self.akku.ladezustand_in_prozent()
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soc_per_hour[0] = self.akku.ladezustand_in_prozent()
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if self.eauto:
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eauto_soc_pro_stunde[0] = self.eauto.ladezustand_in_prozent()
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soc_ev_per_hour[0] = self.eauto.ladezustand_in_prozent()
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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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# All States
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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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soc_per_hour[hour_since_now] = self.akku.ladezustand_in_prozent()
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if self.eauto:
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soc_ev_per_hour[hour_since_now] = self.eauto.ladezustand_in_prozent()
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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.gesamtlast[hour]
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losses_wh_per_hour[hour_since_now] = 0.0
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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 and self.ev_charge_hours[stunde] > 0:
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geladene_menge_eauto, verluste_eauto = self.eauto.energie_laden(
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None, stunde, relative_power=self.ev_charge_hours[stunde]
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if self.eauto and self.ev_charge_hours[hour] > 0:
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loaded_energy_ev, verluste_eauto = self.eauto.energie_laden(
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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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consumption += loaded_energy_ev
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losses_wh_per_hour[hour_since_now] += verluste_eauto
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if self.eauto:
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eauto_soc_pro_stunde[stunde_since_now] = self.eauto.ladezustand_in_prozent()
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# Process inverter logic
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erzeugung = self.pv_prognose_wh[stunde]
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self.akku.set_charge_allowed_for_hour(self.dc_charge_hours[stunde], stunde)
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netzeinspeisung, netzbezug, verluste, eigenverbrauch = (
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self.wechselrichter.energie_verarbeiten(erzeugung, verbrauch, stunde)
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energy_produced = self.pv_prognose_wh[hour]
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self.akku.set_charge_allowed_for_hour(self.dc_charge_hours[hour], hour)
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energy_feedin_grid_actual, energy_consumption_grid_actual, losses, eigenverbrauch = (
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self.wechselrichter.energie_verarbeiten(energy_produced, consumption, hour)
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)
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# AC PV Battery Charge
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if 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.energie_laden(
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None, stunde, relative_power=self.ac_charge_hours[stunde]
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if self.ac_charge_hours[hour] > 0.0:
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self.akku.set_charge_allowed_for_hour(1, hour)
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battery_charged_energy_actual, battery_losses_actual = self.akku.energie_laden(
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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.ladezustand_in_prozent())
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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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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.strompreis_euro_pro_wh[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.strompreis_euro_pro_wh[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.einspeiseverguetung_euro_pro_wh_arr[hour]
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)
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# Akku SOC tracking
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akku_soc_pro_stunde[stunde_since_now] = self.akku.ladezustand_in_prozent()
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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),
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"Gesamtkosten_Euro": np.nansum(kosten_euro_pro_stunde),
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"Verluste_Pro_Stunde": verluste_wh_pro_stunde,
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"Gesamt_Verluste": np.nansum(verluste_wh_pro_stunde),
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"EAuto_SoC_pro_Stunde": soc_ev_per_hour,
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"Gesamteinnahmen_Euro": np.nansum(revenue_per_hour),
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"Gesamtkosten_Euro": np.nansum(costs_per_hour),
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"Verluste_Pro_Stunde": losses_wh_per_hour,
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"Gesamt_Verluste": np.nansum(losses_wh_per_hour),
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"Home_appliance_wh_per_hour": home_appliance_wh_per_hour,
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"Electricity_price": electricity_price_per_hour,
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}
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@ -244,7 +244,7 @@ def test_simulation(create_ems_instance):
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# Simulate starting from hour 1 (this value can be adjusted)
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result = ems.simuliere(start_stunde=start_hour)
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result = ems.simuliere(start_hour=start_hour)
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# visualisiere_ergebnisse(
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# ems.gesamtlast,
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@ -330,11 +330,11 @@ def test_simulation(create_ems_instance):
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# Check the values in 'akku_soc_pro_stunde'
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assert (
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result["akku_soc_pro_stunde"][-1] == 28.675
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), "The value at index -1 of 'akku_soc_pro_stunde' should be 28.675."
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result["akku_soc_pro_stunde"][-1] == 42.151590909090906
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), "The value at index -1 of 'akku_soc_pro_stunde' should be 42.151590909090906."
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assert (
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result["akku_soc_pro_stunde"][1] == 25.379090909090905
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), "The value at index 1 of 'akku_soc_pro_stunde' should be 25.379090909090905."
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result["akku_soc_pro_stunde"][1] == 60.08659090909091
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), "The value at index 1 of 'akku_soc_pro_stunde' should be 60.08659090909091."
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# Check home appliances
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assert (
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@ -154,7 +154,7 @@ def test_simulation(create_ems_instance):
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ems = create_ems_instance
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# Simulate starting from hour 0 (this value can be adjusted)
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result = ems.simuliere(start_stunde=start_hour)
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result = ems.simuliere(start_hour=start_hour)
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# --- Pls do not remove! ---
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# visualisiere_ergebnisse(
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@ -224,12 +224,12 @@ def test_simulation(create_ems_instance):
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), "The length of 'akku_soc_pro_stunde' should be 48."
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# Verfify DC and AC Charge Bins
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assert (
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abs(result["akku_soc_pro_stunde"][2] - 44.70681818181818) < 1e-5
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), "'akku_soc_pro_stunde[2]' should be 44.70681818181818."
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assert (
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abs(result["akku_soc_pro_stunde"][10] - 10.0) < 1e-5
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), "'akku_soc_pro_stunde[10]' should be 10."
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assert (
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abs(result["akku_soc_pro_stunde"][11] - 79.275184) < 1e-5
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), "'akku_soc_pro_stunde[11]' should be 79.275184."
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assert (
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abs(result["Netzeinspeisung_Wh_pro_Stunde"][10] - 3946.93) < 1e-3
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@ -240,8 +240,8 @@ def test_simulation(create_ems_instance):
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), "'Netzeinspeisung_Wh_pro_Stunde[11]' should be 0.0."
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assert (
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abs(result["akku_soc_pro_stunde"][20] - 98) < 1e-5
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), "'akku_soc_pro_stunde[11]' should be 98."
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abs(result["akku_soc_pro_stunde"][20] - 10) < 1e-5
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), "'akku_soc_pro_stunde[20]' should be 10."
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assert (
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abs(result["Last_Wh_pro_Stunde"][20] - 6050.98) < 1e-3
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), "'Netzeinspeisung_Wh_pro_Stunde[11]' should be 0.0."
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@ -62,8 +62,8 @@ def test_optimize(
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start_hour = 10
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# Activate with pytest --full-run
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if ngen > 10 and not is_full_run:
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pytest.skip()
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# if ngen > 10 and not is_full_run:
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# pytest.skip()
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visualize_filename = str((DIR_TESTDATA / f"new_{fn_out}").with_suffix(".pdf"))
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2
tests/testdata/optimize_result_1.json
vendored
2
tests/testdata/optimize_result_1.json
vendored
@ -476,6 +476,7 @@
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0.0
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],
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"akku_soc_pro_stunde": [
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80.0,
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80.0,
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79.91107093663912,
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79.91107093663912,
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@ -512,7 +513,6 @@
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100.0,
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100.0,
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100.0,
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96.84060778236915,
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96.84060778236915
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],
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"Electricity_price": [
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124
tests/testdata/optimize_result_2.json
vendored
124
tests/testdata/optimize_result_2.json
vendored
@ -170,7 +170,7 @@
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0.0,
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0.5,
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0.625,
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0.0,
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0.75,
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0.0,
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0.0,
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0.0,
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@ -211,7 +211,7 @@
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1103.78,
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6373.12,
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7733.71,
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1050.98,
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4299.98,
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988.56,
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912.38,
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704.61,
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@ -241,6 +241,7 @@
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592.97
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],
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"EAuto_SoC_pro_Stunde": [
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5.0,
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11.555,
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11.555,
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26.85,
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@ -251,34 +252,33 @@
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74.92,
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83.66,
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94.585,
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94.585,
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94.585,
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94.585,
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94.585,
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94.585,
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94.585,
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94.585,
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94.585,
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94.585,
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94.585,
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94.585,
|
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94.585,
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94.585,
|
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94.585,
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94.585,
|
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94.585,
|
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94.585,
|
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94.585,
|
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94.585,
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94.585,
|
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94.585,
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94.585,
|
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94.585,
|
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94.585,
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94.585,
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94.585,
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94.585,
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94.585
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0,
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100.0
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],
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"Einnahmen_Euro_pro_Stunde": [
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0.0,
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@ -320,7 +320,7 @@
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0.0,
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0.0
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],
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"Gesamt_Verluste": 9258.73062020124,
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"Gesamt_Verluste": 9872.776074746695,
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"Gesamtbilanz_Euro": 12.332782378812306,
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"Gesamteinnahmen_Euro": 0.0,
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"Gesamtkosten_Euro": 12.332782378812306,
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@ -495,7 +495,7 @@
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230.91336797704525,
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880.0977272727268,
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1026.818181818182,
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99.72409090909093,
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713.7695454545456,
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133.72909090909081,
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124.41545454545451,
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96.08318181818186,
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@ -525,6 +525,7 @@
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0.0
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],
|
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@ -711,7 +711,7 @@
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tests/testdata/optimize_result_2_full.json
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562
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@ -1,29 +1,15 @@
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"washingstart": 15
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"washingstart": 13
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}
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||||
Loading…
x
Reference in New Issue
Block a user