def test_check_feedin_tariff_vs_levelized_cost_of_generation_of_production_dispatchable_lower_dispatch_price(
):
energy_vector = "Electricity"
dict_values = {
ENERGY_PROVIDERS: {
"DSO": {
FEEDIN_TARIFF: {
UNIT: "currency/kWh",
VALUE: 0.4
},
LABEL: "test DSO",
ENERGY_VECTOR: energy_vector,
}
},
ENERGY_PRODUCTION: {
"asset": {
ENERGY_VECTOR: energy_vector,
LABEL: "production asset",
DISPATCH_PRICE: {
VALUE: 0.3
},
DISPATCHABILITY: True,
OPTIMIZE_CAP: {
VALUE: True
},
MAXIMUM_CAP: {
VALUE: None
},
}
},
}
with pytest.raises(ValueError):
C1.check_feedin_tariff_vs_levelized_cost_of_generation_of_production(
dict_values
), f"If feed-in tariff > dispatch price of an asset without maximumCap and with optimized capacity a ValueError should be risen."
def test_check_feedin_tariff_vs_levelized_cost_of_generation_of_production_non_dispatchable_greater_costs_dispatch_mode(
caplog, ):
energy_vector = "Electricity"
dict_values = {
ENERGY_PROVIDERS: {
"DSO": {
FEEDIN_TARIFF: {
UNIT: "currency/kWh",
VALUE: 0.4
},
LABEL: "test DSO",
ENERGY_VECTOR: energy_vector,
}
},
ENERGY_PRODUCTION: {
"asset": {
ENERGY_VECTOR: energy_vector,
LABEL: "production asset",
SIMULATION_ANNUITY: {
VALUE: 1
},
TIMESERIES_TOTAL: {
VALUE: 10
},
DISPATCHABILITY: False,
OPTIMIZE_CAP: {
VALUE: False
},
MAXIMUM_CAP: {
VALUE: 1000
},
}
},
}
# logging.warning
with caplog.at_level(logging.DEBUG):
C1.check_feedin_tariff_vs_levelized_cost_of_generation_of_production(
dict_values)
assert (
"No error expected but strange dispatch behaviour might occur."
in caplog.text
), f"If the capacity of a production asset is not optimized and the feed-in tariff is greater than the expected lcoe a debug msg should be logged."
def test_check_feedin_tariff_vs_levelized_cost_of_generation_of_production_non_dispatchable_greater_costs_with_maxcap(
caplog, ):
energy_vector = "Electricity"
dict_values = {
ENERGY_PROVIDERS: {
"DSO": {
FEEDIN_TARIFF: {
UNIT: "currency/kWh",
VALUE: 0.4
},
LABEL: "test DSO",
ENERGY_VECTOR: energy_vector,
}
},
ENERGY_PRODUCTION: {
"asset": {
ENERGY_VECTOR: energy_vector,
LABEL: "production asset",
SIMULATION_ANNUITY: {
VALUE: 1
},
TIMESERIES_TOTAL: {
VALUE: 10
},
DISPATCHABILITY: False,
OPTIMIZE_CAP: {
VALUE: True
},
MAXIMUM_CAP: {
VALUE: 1000
},
}
},
}
# logging.warning
with caplog.at_level(logging.WARNING):
C1.check_feedin_tariff_vs_levelized_cost_of_generation_of_production(
dict_values)
assert (
"This will cause the optimization to result into the maximum capacity of this asset."
in caplog.text
), f"If a production asset has a maximumCap and the feed-in tariff is greater than the expected lcoe a warning should be logged."
def test_check_feedin_tariff_vs_levelized_cost_of_generation_of_production_non_dispatchable_not_greater_costs(
caplog, ):
energy_vector = "Electricity"
dict_values = {
ENERGY_PROVIDERS: {
"DSO": {
FEEDIN_TARIFF: {
UNIT: "currency/kWh",
VALUE: 0.4
},
LABEL: "test DSO",
ENERGY_VECTOR: energy_vector,
}
},
ENERGY_PRODUCTION: {
"asset": {
ENERGY_VECTOR: energy_vector,
LABEL: "production asset",
SIMULATION_ANNUITY: {
VALUE: 10
},
TIMESERIES_TOTAL: {
VALUE: 10
},
DISPATCHABILITY: False,
OPTIMIZE_CAP: {
VALUE: True
},
MAXIMUM_CAP: {
VALUE: None
},
}
},
}
# no error no logging
with caplog.at_level(logging.WARNING):
C1.check_feedin_tariff_vs_levelized_cost_of_generation_of_production(
dict_values)
assert (
caplog.text == ""
), f"If feed-in tariff < dispatch price of an asset no error and no logging message should occur."