def create_power_function(self, x, y):
Status.add("Creating interpolator", verbosity=3)
if self.interpolation_mode == 'Linear':
return interpolators.LinearPowerCurveInterpolator(
x, y, self.cut_out_wind_speed)
elif self.interpolation_mode == 'Cubic' or self.interpolation_mode == 'Cubic Spline':
return interpolators.CubicSplinePowerCurveInterpolator(
x, y, self.cut_out_wind_speed)
elif self.interpolation_mode == 'Cubic Hermite':
return interpolators.CubicHermitePowerCurveInterpolator(
x, y, self.cut_out_wind_speed)
elif self.interpolation_mode == 'Marmander' or self.interpolation_mode == 'Marmander (Cubic Spline)':
return interpolators.MarmanderPowerCurveInterpolatorCubicSpline(
x,
y,
self.cut_out_wind_speed,
x_limits=self.x_limits,
sub_power=self.sub_power)
elif self.interpolation_mode == 'Marmander (Cubic Hermite)':
return interpolators.MarmanderPowerCurveInterpolatorCubicHermite(
x,
y,
self.cut_out_wind_speed,
x_limits=self.x_limits,
sub_power=self.sub_power)
else:
raise Exception('Unknown interpolation mode: {0}'.format(
self.interpolation_mode))
def createFunction(self, y_data, x_data):
if x_data is None:
x_data = pd.Series(y_data.index, index=y_data.index)
x, y = [], []
for i in y_data.index:
if i in x_data.index:
x.append(x_data[i])
else:
x.append(i)
y.append(y_data[i])
return interpolators.LinearPowerCurveInterpolator(x, y)
def createPowerFunction(self, x, y):
Status.add("Creating interpolator", verbosity=3)
if self.interpolationMode == 'Linear':
return interpolators.LinearPowerCurveInterpolator(
x, y, self.cutOutWindSpeed)
elif self.interpolationMode == 'Cubic':
return interpolators.CubicPowerCurveInterpolator(
x, y, self.cutOutWindSpeed)
elif self.interpolationMode == 'Marmander':
return interpolators.MarmanderPowerCurveInterpolator(
x,
y,
self.cutOutWindSpeed,
xLimits=self.xLimits,
sub_power=self.sub_power)
else:
raise Exception('Unknown interpolation mode: %s' %
self.interpolationMode)
def createFunction(self, y_data, x_data):
if x_data is None:
x_data = pd.Series(y_data.index, index=y_data.index)
x, y = [], []
for i in y_data.index:
if i in x_data.index:
x.append(x_data[i])
else:
x.append(i)
y.append(y_data[i])
if self.interpolationMode == 'Linear':
return interpolators.LinearPowerCurveInterpolator(x, y)
elif self.interpolationMode == 'Cubic':
return interpolators.CubicPowerCurveInterpolator(
x, y, self.cutOutWindSpeed)
else:
raise Exception('Unknown interpolation mode: %s' %
self.interpolationMode)
def get_threshold_wind_speed(self):
return float(
interpolators.LinearPowerCurveInterpolator(
self.power_points, self.wind_speed_points, self.rated_power)(
0.85 * self.rated_power) * 1.5)
def getThresholdWindSpeed(self):
return float(
interpolators.LinearPowerCurveInterpolator(
self.powerCurveLevels[self.actualPower].as_matrix(),
list(self.powerCurveLevels[self.actualPower].index))(
0.85 * self.ratedPower))