import pandas as pd
import pytest
from powersimdata.design.generation.curtailment import temporal_curtailment
from powersimdata.tests.mock_scenario import MockScenario
mock_plant = {
"plant_id": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11],
"type": ["coal", "wind", "solar", "hydro", "ng", "nuclear"] * 2,
"Pmax": [50, 50, 50, 50, 20, 60, 100, 50, 50, 50, 40, 120],
"Pmin": [20, 0, 0, 0, 0, 30, 30, 0, 0, 0, 10, 75],
}
mock_demand = pd.DataFrame(
{1: [350, 350, 325, 400, 500]},
)
mock_hydro = pd.DataFrame(
{
3: [25, 40, 50, 30, 0],
9: [25, 40, 50, 30, 0],
}
)
mock_solar = pd.DataFrame(
{
2: [20, 20, 20, 20, 20],
8: [10, 20, 30, 40, 50],
}
)
mock_wind = pd.DataFrame(
{
1: [0, 50, 0, 50, 0],
7: [20, 30, 20, 30, 20],
}
)
[docs]@pytest.fixture
def mock_scenario():
return MockScenario(
grid_attrs={"plant": mock_plant},
demand=mock_demand,
hydro=mock_hydro,
solar=mock_solar,
wind=mock_wind,
)
[docs]def test_temporal_curtailment(mock_scenario):
assert temporal_curtailment(mock_scenario) == pytest.approx(0.3361702)
# Testing that "None" overrides the default simulation Pmin with the data Pmin
curtailment = temporal_curtailment(
mock_scenario, pmin_by_type={"hydro": None, "ng": None}
)
assert curtailment == pytest.approx(0.4)
curtailment = temporal_curtailment(mock_scenario, pmin_by_id={10: None})
assert curtailment == pytest.approx(0.4)
# Testing that we can change replace the Pmin with relative-to-Pmax values
curtailment = temporal_curtailment(mock_scenario, pmin_by_id={5: 1})
assert curtailment == pytest.approx(0.35531915)
curtailment = temporal_curtailment(mock_scenario, pmin_by_id={11: 1})
assert curtailment == pytest.approx(0.37446809)
curtailment = temporal_curtailment(mock_scenario, pmin_by_id={5: 1, 11: 1})
assert curtailment == pytest.approx(0.39361702)
curtailment = temporal_curtailment(
mock_scenario, pmin_by_type={"hydro": None, "nuclear": 1}
)
assert curtailment == pytest.approx(0.39361702)
curtailment = temporal_curtailment(mock_scenario, pmin_by_id={5: 1, 11: 0.99})
assert curtailment == pytest.approx(0.38595744)
curtailment = temporal_curtailment(
mock_scenario, pmin_by_type={"hydro": None, "nuclear": 0.98}
)
assert curtailment == pytest.approx(0.37063830)
# Testing that we can override by-type with by-id
curtailment = temporal_curtailment(
mock_scenario, pmin_by_type={"hydro": None, "nuclear": 1}, pmin_by_id={11: 0.99}
)
assert curtailment == pytest.approx(0.38595744)
# Testing that we can relax the Pmin of a profile resource by type
assert temporal_curtailment(mock_scenario, pmin_by_type={"hydro": 0}) == 0
# Testing that we can relax the Pmin of a profile resource by id
assert temporal_curtailment(mock_scenario, pmin_by_id={3: 0}) == pytest.approx(0.1)
curtailment = temporal_curtailment(mock_scenario, pmin_by_id={3: 0, 9: 0})
assert curtailment == 0
# Testing that we can override by-type with by-id
curtailment = temporal_curtailment(
mock_scenario, pmin_by_type={"hydro": 0}, pmin_by_id={9: None}
)
assert curtailment == pytest.approx(0.1)
