mirror of
https://github.com/Akkudoktor-EOS/EOS.git
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257 lines
7.5 KiB
Python
257 lines
7.5 KiB
Python
from pathlib import Path
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import numpy as np
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import pytest
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from akkudoktoreos.core.ems import (
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EnergieManagementSystem,
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EnergieManagementSystemParameters,
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get_ems,
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)
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from akkudoktoreos.devices.battery import (
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Battery,
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ElectricVehicleParameters,
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SolarPanelBatteryParameters,
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)
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from akkudoktoreos.devices.generic import HomeAppliance, HomeApplianceParameters
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from akkudoktoreos.devices.inverter import Inverter, InverterParameters
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from akkudoktoreos.prediction.interpolator import SelfConsumptionProbabilityInterpolator
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start_hour = 0
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# Example initialization of necessary components
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@pytest.fixture
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def create_ems_instance(config_eos) -> EnergieManagementSystem:
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"""Fixture to create an EnergieManagementSystem instance with given test parameters."""
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# Assure configuration holds the correct values
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config_eos.merge_settings_from_dict({"prediction_hours": 48, "optimization_hours": 24})
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assert config_eos.prediction_hours is not None
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# Initialize the battery and the inverter
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akku = Battery(
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SolarPanelBatteryParameters(
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capacity_wh=5000, initial_soc_percentage=80, min_soc_percentage=10
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),
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hours=config_eos.prediction_hours,
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)
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# 1h Load to Sub 1h Load Distribution -> SelfConsumptionRate
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sc = SelfConsumptionProbabilityInterpolator(
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Path(__file__).parent.resolve()
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/ ".."
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/ "src"
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/ "akkudoktoreos"
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/ "data"
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/ "regular_grid_interpolator.pkl"
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)
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akku.reset()
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inverter = Inverter(sc, InverterParameters(max_power_wh=10000), akku)
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# Household device (currently not used, set to None)
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home_appliance = HomeAppliance(
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HomeApplianceParameters(
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consumption_wh=2000,
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duration_h=2,
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),
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hours=config_eos.prediction_hours,
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)
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home_appliance.set_starting_time(2)
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# Example initialization of electric car battery
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eauto = Battery(
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ElectricVehicleParameters(
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capacity_wh=26400, initial_soc_percentage=100, min_soc_percentage=100
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),
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hours=config_eos.prediction_hours,
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)
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# Parameters based on previous example data
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pv_prognose_wh = [0.0] * config_eos.prediction_hours
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pv_prognose_wh[10] = 5000.0
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pv_prognose_wh[11] = 5000.0
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strompreis_euro_pro_wh = [0.001] * config_eos.prediction_hours
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strompreis_euro_pro_wh[0:10] = [0.00001] * 10
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strompreis_euro_pro_wh[11:15] = [0.00005] * 4
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strompreis_euro_pro_wh[20] = 0.00001
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einspeiseverguetung_euro_pro_wh = [0.00007] * len(strompreis_euro_pro_wh)
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preis_euro_pro_wh_akku = 0.0001
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gesamtlast = [
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676.71,
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876.19,
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527.13,
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468.88,
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531.38,
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517.95,
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483.15,
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472.28,
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1011.68,
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995.00,
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1053.07,
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1063.91,
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1320.56,
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1132.03,
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1163.67,
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1176.82,
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1216.22,
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1103.78,
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1129.12,
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1178.71,
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1050.98,
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988.56,
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912.38,
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704.61,
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516.37,
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868.05,
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694.34,
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608.79,
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556.31,
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488.89,
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506.91,
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804.89,
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1141.98,
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1056.97,
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992.46,
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1155.99,
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827.01,
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1257.98,
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1232.67,
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871.26,
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860.88,
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1158.03,
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1222.72,
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1221.04,
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949.99,
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987.01,
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733.99,
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592.97,
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]
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# Initialize the energy management system with the respective parameters
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ems = get_ems()
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ems.set_parameters(
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EnergieManagementSystemParameters(
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pv_prognose_wh=pv_prognose_wh,
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strompreis_euro_pro_wh=strompreis_euro_pro_wh,
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einspeiseverguetung_euro_pro_wh=einspeiseverguetung_euro_pro_wh,
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preis_euro_pro_wh_akku=preis_euro_pro_wh_akku,
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gesamtlast=gesamtlast,
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),
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inverter=inverter,
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ev=eauto,
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home_appliance=home_appliance,
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)
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ac = np.full(config_eos.prediction_hours, 0.0)
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ac[20] = 1
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ems.set_akku_ac_charge_hours(ac)
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dc = np.full(config_eos.prediction_hours, 0.0)
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dc[11] = 1
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ems.set_akku_dc_charge_hours(dc)
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return ems
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def test_simulation(create_ems_instance):
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"""Test the EnergieManagementSystem simulation method."""
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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.simulate(start_hour=start_hour)
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# --- Pls do not remove! ---
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# visualisiere_ergebnisse(
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# ems.gesamtlast,
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# ems.pv_prognose_wh,
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# ems.strompreis_euro_pro_wh,
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# result,
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# ems.akku.discharge_array+ems.akku.charge_array,
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# None,
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# ems.pv_prognose_wh,
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# start_hour,
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# 48,
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# np.full(48, 0.0),
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# filename="visualization_results.pdf",
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# extra_data=None,
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# )
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# Assertions to validate results
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assert result is not None, "Result should not be None"
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assert isinstance(result, dict), "Result should be a dictionary"
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assert "Last_Wh_pro_Stunde" in result, "Result should contain 'Last_Wh_pro_Stunde'"
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"""
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Check the result of the simulation based on expected values.
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"""
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# Example result returned from the simulation (used for assertions)
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assert result is not None, "Result should not be None."
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# Check that the result is a dictionary
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assert isinstance(result, dict), "Result should be a dictionary."
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# Verify that the expected keys are present in the result
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expected_keys = [
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"Last_Wh_pro_Stunde",
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"Netzeinspeisung_Wh_pro_Stunde",
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"Netzbezug_Wh_pro_Stunde",
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"Kosten_Euro_pro_Stunde",
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"akku_soc_pro_stunde",
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"Einnahmen_Euro_pro_Stunde",
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"Gesamtbilanz_Euro",
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"EAuto_SoC_pro_Stunde",
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"Gesamteinnahmen_Euro",
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"Gesamtkosten_Euro",
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"Verluste_Pro_Stunde",
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"Gesamt_Verluste",
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"Home_appliance_wh_per_hour",
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]
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for key in expected_keys:
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assert key in result, f"The key '{key}' should be present in the result."
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# Check the length of the main arrays
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assert (
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len(result["Last_Wh_pro_Stunde"]) == 48
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), "The length of 'Last_Wh_pro_Stunde' should be 48."
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assert (
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len(result["Netzeinspeisung_Wh_pro_Stunde"]) == 48
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), "The length of 'Netzeinspeisung_Wh_pro_Stunde' should be 48."
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assert (
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len(result["Netzbezug_Wh_pro_Stunde"]) == 48
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), "The length of 'Netzbezug_Wh_pro_Stunde' should be 48."
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assert (
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len(result["Kosten_Euro_pro_Stunde"]) == 48
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), "The length of 'Kosten_Euro_pro_Stunde' should be 48."
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assert (
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len(result["akku_soc_pro_stunde"]) == 48
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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["Netzeinspeisung_Wh_pro_Stunde"][10] - 3946.93) < 1e-3
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), "'Netzeinspeisung_Wh_pro_Stunde[11]' should be 4000."
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assert (
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abs(result["Netzeinspeisung_Wh_pro_Stunde"][11] - 0.0) < 1e-3
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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] - 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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print("All tests passed successfully.")
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