EOS/tests/test_class_ems_2.py
Normann 480adf8100
Data prefetch ems for feature (#420)
* Pre-fetch data

* maintanance and extend tests

* comment clean up

* nansum usage (to be save)

* Feature/config nested (#421)

* Nested config, devices registry

 * All config now nested.
    - Use default config from model field default values. If providers
      should be enabled by default, non-empty default config file could
      be provided again.
    - Environment variable support with EOS_ prefix and __ between levels,
      e.g. EOS_SERVER__EOS_SERVER_PORT=8503 where all values are case
      insensitive.
      For more information see:
      https://docs.pydantic.dev/latest/concepts/pydantic_settings/#parsing-environment-variable-values
    - Use devices as registry for configured devices. DeviceBase as base
      class with for now just initializion support (in the future expand
      to operations during optimization).
    - Strip down ConfigEOS to the only configuration instance. Reload
      from file or reset to defaults is possible.

 * Fix multi-initialization of derived SingletonMixin classes.

* Documentation: Support nested config

 * Add examples to pydantic models.

* EOSdash: Support nested types

* Rename settings variables (remove prefixes)

* Fix API endpoint

* Fix EOSdash startup (docker)

 * Docker: Copy the same directory structure (src/) to support the
   lifespan startup of EOSdash.
   Use EOS_SERVER_EOSDASH_SESSKEY environment variable to provide
   EOSdash with session key.

* PR review

* PVForecast: planes as nested config (list)

* Update manual documentation for nested config.

 * Add config_file_path, config_folder_path back to general
   (ConfigCommonSettings). Overwrite in docs generation.

* Config: Move lat/long/timezone from prediction to general

* Docs: Add global example documentation.

 * merge_models: Use deecopy to not change input data.

* EOSdash: Sort config by name

* Review comments

* Feature/config nested dependabot req. (#415)

* Bump numpydantic from 1.6.4 to 1.6.7 (#413)

Bumps [numpydantic](https://github.com/p2p-ld/numpydantic) from 1.6.4 to 1.6.7.
- [Release notes](https://github.com/p2p-ld/numpydantic/releases)
- [Changelog](https://github.com/p2p-ld/numpydantic/blob/main/docs/changelog.md)
- [Commits](https://github.com/p2p-ld/numpydantic/compare/v1.6.4...v1.6.7)

---
updated-dependencies:
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  dependency-type: direct:production
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* Bump timezonefinder from 6.5.7 to 6.5.8 (#414)

Bumps [timezonefinder](https://github.com/jannikmi/timezonefinder) from 6.5.7 to 6.5.8.
- [Release notes](https://github.com/jannikmi/timezonefinder/releases)
- [Changelog](https://github.com/jannikmi/timezonefinder/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/jannikmi/timezonefinder/compare/6.5.7...6.5.8)

---
updated-dependencies:
- dependency-name: timezonefinder
  dependency-type: direct:production
  update-type: version-update:semver-patch
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* Bump pydantic from 2.10.5 to 2.10.6 (#412)

Bumps [pydantic](https://github.com/pydantic/pydantic) from 2.10.5 to 2.10.6.
- [Release notes](https://github.com/pydantic/pydantic/releases)
- [Changelog](https://github.com/pydantic/pydantic/blob/main/HISTORY.md)
- [Commits](https://github.com/pydantic/pydantic/compare/v2.10.5...v2.10.6)

---
updated-dependencies:
- dependency-name: pydantic
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Bump fastapi[standard] from 0.115.6 to 0.115.7 (#411)

Bumps [fastapi[standard]](https://github.com/fastapi/fastapi) from 0.115.6 to 0.115.7.
- [Release notes](https://github.com/fastapi/fastapi/releases)
- [Commits](https://github.com/fastapi/fastapi/compare/0.115.6...0.115.7)

---
updated-dependencies:
- dependency-name: fastapi[standard]
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

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* Readme: Add hint for interfering ports on Synology Closes #408 (#419)

* Pics or it didn't happen (#402)

* inverter added

* png creation

* save svg into cache folder

* mypy

* comment

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* inverter, prediction.hours

* self.config.general.data_cache_path

---------

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2025-01-26 19:12:14 +01:00

326 lines
10 KiB
Python

import numpy as np
import pytest
from akkudoktoreos.core.ems import (
EnergieManagementSystem,
EnergieManagementSystemParameters,
SimulationResult,
get_ems,
)
from akkudoktoreos.devices.battery import (
Battery,
ElectricVehicleParameters,
SolarPanelBatteryParameters,
)
from akkudoktoreos.devices.generic import HomeAppliance, HomeApplianceParameters
from akkudoktoreos.devices.inverter import Inverter, InverterParameters
start_hour = 0
# Example initialization of necessary components
@pytest.fixture
def create_ems_instance(devices_eos, config_eos) -> EnergieManagementSystem:
"""Fixture to create an EnergieManagementSystem instance with given test parameters."""
# Assure configuration holds the correct values
config_eos.merge_settings_from_dict(
{"prediction": {"hours": 48}, "optimization": {"hours": 24}}
)
assert config_eos.prediction.hours == 48
# Initialize the battery and the inverter
akku = Battery(
SolarPanelBatteryParameters(
device_id="pv1", capacity_wh=5000, initial_soc_percentage=80, min_soc_percentage=10
)
)
akku.reset()
devices_eos.add_device(akku)
inverter = Inverter(
InverterParameters(device_id="iv1", max_power_wh=10000, battery_id=akku.device_id)
)
devices_eos.add_device(inverter)
# Household device (currently not used, set to None)
home_appliance = HomeAppliance(
HomeApplianceParameters(
device_id="dishwasher1",
consumption_wh=2000,
duration_h=2,
)
)
home_appliance.set_starting_time(2)
devices_eos.add_device(home_appliance)
# Example initialization of electric car battery
eauto = Battery(
ElectricVehicleParameters(
device_id="ev1", capacity_wh=26400, initial_soc_percentage=100, min_soc_percentage=100
),
)
devices_eos.add_device(eauto)
devices_eos.post_setup()
# Parameters based on previous example data
pv_prognose_wh = [0.0] * config_eos.prediction.hours
pv_prognose_wh[10] = 5000.0
pv_prognose_wh[11] = 5000.0
strompreis_euro_pro_wh = [0.001] * config_eos.prediction.hours
strompreis_euro_pro_wh[0:10] = [0.00001] * 10
strompreis_euro_pro_wh[11:15] = [0.00005] * 4
strompreis_euro_pro_wh[20] = 0.00001
einspeiseverguetung_euro_pro_wh = [0.00007] * len(strompreis_euro_pro_wh)
preis_euro_pro_wh_akku = 0.0001
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,
]
# Initialize the energy management system with the respective parameters
ems = get_ems()
ems.set_parameters(
EnergieManagementSystemParameters(
pv_prognose_wh=pv_prognose_wh,
strompreis_euro_pro_wh=strompreis_euro_pro_wh,
einspeiseverguetung_euro_pro_wh=einspeiseverguetung_euro_pro_wh,
preis_euro_pro_wh_akku=preis_euro_pro_wh_akku,
gesamtlast=gesamtlast,
),
inverter=inverter,
ev=eauto,
home_appliance=home_appliance,
)
ac = np.full(config_eos.prediction.hours, 0.0)
ac[20] = 1
ems.set_akku_ac_charge_hours(ac)
dc = np.full(config_eos.prediction.hours, 0.0)
dc[11] = 1
ems.set_akku_dc_charge_hours(dc)
return ems
def test_simulation(create_ems_instance):
"""Test the EnergieManagementSystem simulation method."""
ems = create_ems_instance
# Simulate starting from hour 0 (this value can be adjusted)
result = ems.simulate(start_hour=start_hour)
# --- Pls do not remove! ---
# visualisiere_ergebnisse(
# ems.gesamtlast,
# ems.pv_prognose_wh,
# ems.strompreis_euro_pro_wh,
# result,
# ems.akku.discharge_array+ems.akku.charge_array,
# None,
# ems.pv_prognose_wh,
# start_hour,
# 48,
# np.full(48, 0.0),
# filename="visualization_results.pdf",
# extra_data=None,
# )
# Assertions to validate results
assert result is not None, "Result should not be None"
assert isinstance(result, dict), "Result should be a dictionary"
assert SimulationResult(**result) is not None
assert "Last_Wh_pro_Stunde" in result, "Result should contain 'Last_Wh_pro_Stunde'"
"""
Check the result of the simulation based on expected values.
"""
# Example result returned from the simulation (used for assertions)
assert result is not None, "Result should not be None."
# Check that the result is a dictionary
assert isinstance(result, dict), "Result should be a dictionary."
# Verify that the expected keys are present in the result
expected_keys = [
"Last_Wh_pro_Stunde",
"Netzeinspeisung_Wh_pro_Stunde",
"Netzbezug_Wh_pro_Stunde",
"Kosten_Euro_pro_Stunde",
"akku_soc_pro_stunde",
"Einnahmen_Euro_pro_Stunde",
"Gesamtbilanz_Euro",
"EAuto_SoC_pro_Stunde",
"Gesamteinnahmen_Euro",
"Gesamtkosten_Euro",
"Verluste_Pro_Stunde",
"Gesamt_Verluste",
"Home_appliance_wh_per_hour",
]
for key in expected_keys:
assert key in result, f"The key '{key}' should be present in the result."
# Check the length of the main arrays
assert (
len(result["Last_Wh_pro_Stunde"]) == 48
), "The length of 'Last_Wh_pro_Stunde' should be 48."
assert (
len(result["Netzeinspeisung_Wh_pro_Stunde"]) == 48
), "The length of 'Netzeinspeisung_Wh_pro_Stunde' should be 48."
assert (
len(result["Netzbezug_Wh_pro_Stunde"]) == 48
), "The length of 'Netzbezug_Wh_pro_Stunde' should be 48."
assert (
len(result["Kosten_Euro_pro_Stunde"]) == 48
), "The length of 'Kosten_Euro_pro_Stunde' should be 48."
assert (
len(result["akku_soc_pro_stunde"]) == 48
), "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["Netzeinspeisung_Wh_pro_Stunde"][10] - 3946.93) < 1e-3
), "'Netzeinspeisung_Wh_pro_Stunde[11]' should be 3946.93."
assert (
abs(result["Netzeinspeisung_Wh_pro_Stunde"][11] - 0.0) < 1e-3
), "'Netzeinspeisung_Wh_pro_Stunde[11]' should be 0.0."
assert (
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
), "'Last_Wh_pro_Stunde[20]' should be 6050.98."
print("All tests passed successfully.")
def test_set_parameters(create_ems_instance):
"""Test the set_parameters method of EnergieManagementSystem."""
ems = create_ems_instance
# Check if parameters are set correctly
assert ems.load_energy_array is not None, "load_energy_array should not be None"
assert ems.pv_prediction_wh is not None, "pv_prediction_wh should not be None"
assert ems.elect_price_hourly is not None, "elect_price_hourly should not be None"
assert (
ems.elect_revenue_per_hour_arr is not None
), "elect_revenue_per_hour_arr should not be None"
def test_set_akku_discharge_hours(create_ems_instance):
"""Test the set_akku_discharge_hours method of EnergieManagementSystem."""
ems = create_ems_instance
discharge_hours = np.full(ems.config.prediction.hours, 1.0)
ems.set_akku_discharge_hours(discharge_hours)
assert np.array_equal(
ems.battery.discharge_array, discharge_hours
), "Discharge hours should be set correctly"
def test_set_akku_ac_charge_hours(create_ems_instance):
"""Test the set_akku_ac_charge_hours method of EnergieManagementSystem."""
ems = create_ems_instance
ac_charge_hours = np.full(ems.config.prediction.hours, 1.0)
ems.set_akku_ac_charge_hours(ac_charge_hours)
assert np.array_equal(
ems.ac_charge_hours, ac_charge_hours
), "AC charge hours should be set correctly"
def test_set_akku_dc_charge_hours(create_ems_instance):
"""Test the set_akku_dc_charge_hours method of EnergieManagementSystem."""
ems = create_ems_instance
dc_charge_hours = np.full(ems.config.prediction.hours, 1.0)
ems.set_akku_dc_charge_hours(dc_charge_hours)
assert np.array_equal(
ems.dc_charge_hours, dc_charge_hours
), "DC charge hours should be set correctly"
def test_set_ev_charge_hours(create_ems_instance):
"""Test the set_ev_charge_hours method of EnergieManagementSystem."""
ems = create_ems_instance
ev_charge_hours = np.full(ems.config.prediction.hours, 1.0)
ems.set_ev_charge_hours(ev_charge_hours)
assert np.array_equal(
ems.ev_charge_hours, ev_charge_hours
), "EV charge hours should be set correctly"
def test_reset(create_ems_instance):
"""Test the reset method of EnergieManagementSystem."""
ems = create_ems_instance
ems.reset()
assert ems.ev.current_soc_percentage() == 100, "EV SOC should be reset to initial value"
assert (
ems.battery.current_soc_percentage() == 80
), "Battery SOC should be reset to initial value"
def test_simulate_start_now(create_ems_instance):
"""Test the simulate_start_now method of EnergieManagementSystem."""
ems = create_ems_instance
result = ems.simulate_start_now()
assert result is not None, "Result should not be None"
assert isinstance(result, dict), "Result should be a dictionary"
assert "Last_Wh_pro_Stunde" in result, "Result should contain 'Last_Wh_pro_Stunde'"