def test_power_coefficient_curve_output_types(self):
"""
Test wind_speed as np.array with density and power_coefficient_curve
as np.array and pd.Series
"""
assert isinstance(power_coefficient_curve(**self.parameters),
pd.Series)
self.parameters["wind_speed"] = np.array(self.parameters["wind_speed"])
assert isinstance(power_coefficient_curve(**self.parameters),
np.ndarray)
def test_power_coefficient_curve_2(self):
"""TODO: Explain this test"""
parameters = self.parameters
power_output_exp = np.array([0.0, 244615.399, 0.0])
parameters["wind_speed"] = np.array(parameters["wind_speed"])
assert_allclose(power_coefficient_curve(**parameters),
power_output_exp)
parameters["density"] = pd.Series(data=parameters["density"])
assert_allclose(power_coefficient_curve(**parameters),
power_output_exp)
assert isinstance(power_coefficient_curve(**parameters), np.ndarray)
parameters["power_coefficient_curve_wind_speeds"] = pd.Series(
data=parameters["power_coefficient_curve_wind_speeds"])
parameters["power_coefficient_curve_values"] = pd.Series(
data=parameters["power_coefficient_curve_values"])
assert_allclose(power_coefficient_curve(**parameters),
power_output_exp)
assert isinstance(power_coefficient_curve(**parameters), np.ndarray)
def test_power_coefficient_curve_1(self):
"""
Test wind_speed as pd.Series with density and power_coefficient_curve
as pd.Series and np.array
"""
power_output_exp = pd.Series(data=[0.0, 244615.399, 0.0],
name="feedin_power_plant")
assert_series_equal(power_coefficient_curve(**self.parameters),
power_output_exp)
parameters = self.parameters
parameters["density"].to_numpy()
assert_series_equal(power_coefficient_curve(**parameters),
power_output_exp)
parameters["power_coefficient_curve_values"] = np.array(
parameters["power_coefficient_curve_values"])
parameters["power_coefficient_curve_wind_speeds"] = np.array(
parameters["power_coefficient_curve_wind_speeds"])
assert_series_equal(power_coefficient_curve(**parameters),
power_output_exp)
def test_power_coefficient_curve(self):
parameters = {'wind_speed': pd.Series(data=[2.0, 5.5, 7.0]),
'density': pd.Series(data=[1.3, 1.3, 1.3]),
'rotor_diameter': 80,
'power_coefficient_curve_wind_speeds':
pd.Series([4.0, 5.0, 6.0]),
'power_coefficient_curve_values':
pd.Series([0.3, 0.4, 0.5])}
# Test wind_speed as pd.Series with density and power_coefficient_curve
# as pd.Series and np.array
power_output_exp = pd.Series(data=[0.0, 244615.399, 0.0],
name='feedin_power_plant')
assert_series_equal(power_coefficient_curve(**parameters),
power_output_exp)
parameters['density'] = np.array(parameters['density'])
assert_series_equal(power_coefficient_curve(**parameters),
power_output_exp)
parameters['power_coefficient_curve_values'] = np.array(
parameters['power_coefficient_curve_values'])
parameters['power_coefficient_curve_wind_speeds'] = np.array(
parameters['power_coefficient_curve_wind_speeds'])
assert_series_equal(power_coefficient_curve(**parameters),
power_output_exp)
# Test wind_speed as np.array with density and power_coefficient_curve
# as np.array and pd.Series
power_output_exp = np.array([0.0, 244615.399, 0.0])
parameters['wind_speed'] = np.array(parameters['wind_speed'])
assert_allclose(power_coefficient_curve(**parameters),
power_output_exp)
assert isinstance(power_coefficient_curve(**parameters), np.ndarray)
parameters['density'] = pd.Series(data=parameters['density'])
assert_allclose(power_coefficient_curve(**parameters),
power_output_exp)
assert isinstance(power_coefficient_curve(**parameters), np.ndarray)
parameters['power_coefficient_curve_wind_speeds'] = pd.Series(
data=parameters['power_coefficient_curve_wind_speeds'])
parameters['power_coefficient_curve_values'] = pd.Series(
data=parameters['power_coefficient_curve_values'])
assert_allclose(power_coefficient_curve(**parameters),
power_output_exp)
assert isinstance(power_coefficient_curve(**parameters), np.ndarray)
def calculate_power_output(self, wind_speed_hub, density_hub):
r"""
Calculates the power output of the wind power plant.
The method specified by the parameter `power_output_model` is used.
Parameters
----------
wind_speed_hub : :pandas:`pandas.Series<series>` or numpy.array
Wind speed at hub height in m/s.
density_hub : :pandas:`pandas.Series<series>` or numpy.array
Density of air at hub height in kg/m³.
Returns
-------
:pandas:`pandas.Series<series>`
Electrical power output of the wind turbine in W.
"""
if self.power_output_model == "power_curve":
if self.power_plant.power_curve is None:
raise TypeError("Power curve values of {} are missing.".format(
self.power_plant))
logging.debug("Calculating power output using power curve.")
return power_output.power_curve(
wind_speed_hub,
self.power_plant.power_curve["wind_speed"],
self.power_plant.power_curve["value"],
density_hub,
self.density_correction,
)
elif self.power_output_model == "power_coefficient_curve":
if self.power_plant.power_coefficient_curve is None:
raise TypeError("Power coefficient curve values of {} are "
"missing.".format(self.power_plant))
logging.debug("Calculating power output using power coefficient "
"curve.")
return power_output.power_coefficient_curve(
wind_speed_hub,
self.power_plant.power_coefficient_curve["wind_speed"],
self.power_plant.power_coefficient_curve["value"],
self.power_plant.rotor_diameter,
density_hub,
)
else:
raise ValueError(
"'{0}' is an invalid value. ".format(self.power_output_model) +
"`power_output_model` must be " +
"'power_curve' or 'power_coefficient_curve'.")
def calculate_power_output(self, wind_speed_hub, density_hub):
r"""
Calculates the power output of the wind power plant.
The method specified by the parameter `power_output_model` is used.
Parameters
----------
wind_speed_hub : pandas.Series or numpy.array
Wind speed at hub height in m/s.
density_hub : pandas.Series or numpy.array
Density of air at hub height in kg/m³.
Returns
-------
pandas.Series
Electrical power output of the wind turbine in W.
"""
if self.power_output_model == 'power_curve':
if self.power_plant.power_curve is None:
raise TypeError("Power curve values of " +
self.power_plant.name + " are missing.")
logging.debug('Calculating power output using power curve.')
return (power_output.power_curve(
wind_speed_hub, self.power_plant.power_curve['wind_speed'],
self.power_plant.power_curve['value'], density_hub,
self.density_correction))
elif self.power_output_model == 'power_coefficient_curve':
if self.power_plant.power_coefficient_curve is None:
raise TypeError("Power coefficient curve values of " +
self.power_plant.name + " are missing.")
logging.debug('Calculating power output using power coefficient '
'curve.')
return (power_output.power_coefficient_curve(
wind_speed_hub,
self.power_plant.power_coefficient_curve['wind_speed'],
self.power_plant.power_coefficient_curve['value'],
self.power_plant.rotor_diameter, density_hub))
else:
raise ValueError(
"'{0}' is an invalid value. ".format(self.power_output_model) +
"`power_output_model` must be " +
"'power_curve' or 'power_coefficient_curve'.")
def test_power_coefficient_curve(self):
parameters = {
'wind_speed': pd.Series(data=[2.0, 5.5, 7.0]),
'density': pd.Series(data=[1.3, 1.3, 1.3]),
'rotor_diameter': 80,
'power_coefficient_curve_wind_speeds': pd.Series([4.0, 5.0, 6.0]),
'power_coefficient_curve_values': pd.Series([0.3, 0.4, 0.5])
}
# Tests without density correction:
# Test wind_speed as pd.Series with density and power_coefficient_curve
# as pd.Series and np.array
power_output_exp = pd.Series(data=[0.0, 244615.399, 0.0],
name='feedin_wind_turbine')
assert_series_equal(power_coefficient_curve(**parameters),
power_output_exp)
parameters['density'] = np.array(parameters['density'])
assert_series_equal(power_coefficient_curve(**parameters),
power_output_exp)
parameters['power_coefficient_curve_values'] = np.array(
parameters['power_coefficient_curve_values'])
parameters['power_coefficient_curve_wind_speeds'] = np.array(
parameters['power_coefficient_curve_wind_speeds'])
assert_series_equal(power_coefficient_curve(**parameters),
power_output_exp)
# Test wind_speed as np.array with density and power_coefficient_curve
# as np.array and pd.Series
power_output_exp = np.array([0.0, 244615.399, 0.0])
parameters['wind_speed'] = np.array(parameters['wind_speed'])
assert_allclose(power_coefficient_curve(**parameters),
power_output_exp)
assert isinstance(power_coefficient_curve(**parameters), np.ndarray)
parameters['density'] = pd.Series(data=parameters['density'])
assert_allclose(power_coefficient_curve(**parameters),
power_output_exp)
assert isinstance(power_coefficient_curve(**parameters), np.ndarray)
parameters['power_coefficient_curve_wind_speeds'] = pd.Series(
data=parameters['power_coefficient_curve_wind_speeds'])
parameters['power_coefficient_curve_values'] = pd.Series(
data=parameters['power_coefficient_curve_values'])
assert_allclose(power_coefficient_curve(**parameters),
power_output_exp)
assert isinstance(power_coefficient_curve(**parameters), np.ndarray)
# Tests with density correction:
# Test wind_speed as np.array with density and power_coefficient_curve
# as pd.Series and np.array
power_output_exp = np.array([0.0, 262869.785, 0.0])
parameters['density_correction'] = True
assert_allclose(power_coefficient_curve(**parameters),
power_output_exp)
assert isinstance(power_coefficient_curve(**parameters), np.ndarray)
parameters['density'] = np.array(parameters['density'])
assert_allclose(power_coefficient_curve(**parameters),
power_output_exp)
assert isinstance(power_coefficient_curve(**parameters), np.ndarray)
parameters['power_coefficient_curve_values'] = np.array(
parameters['power_coefficient_curve_values'])
parameters['power_coefficient_curve_wind_speeds'] = np.array(
parameters['power_coefficient_curve_wind_speeds'])
assert_allclose(power_coefficient_curve(**parameters),
power_output_exp)
assert isinstance(power_coefficient_curve(**parameters), np.ndarray)
# Test wind_speed as pd.Series with density and power_coefficient_curve
# as np. array and pd.Series
power_output_exp = pd.Series(data=[0.0, 262869.785, 0.0],
name='feedin_wind_turbine')
parameters['wind_speed'] = pd.Series(data=parameters['wind_speed'])
assert_series_equal(power_coefficient_curve(**parameters),
power_output_exp)
parameters['density'] = pd.Series(data=parameters['density'])
assert_series_equal(power_coefficient_curve(**parameters),
power_output_exp)
parameters['power_coefficient_curve_wind_speeds'] = pd.Series(
data=parameters['power_coefficient_curve_wind_speeds'])
parameters['power_coefficient_curve_values'] = pd.Series(
data=parameters['power_coefficient_curve_values'])
assert_series_equal(power_coefficient_curve(**parameters),
power_output_exp)
# Raise TypeErrors due to wrong type of `density_correction`
with pytest.raises(TypeError):
parameters['density'] = 'wrong_type'
power_coefficient_curve(**parameters)