Source code for reV.utilities.curtailment

# -*- coding: utf-8 -*-
"""Curtailment utility methods.

Created on Fri Mar  1 13:47:30 2019

@author: gbuster
"""
import datetime
import logging
import numpy as np
import pandas as pd
from warnings import warn

from reV.utilities.exceptions import HandlerWarning

from rex.utilities.solar_position import SolarPosition
from rex.utilities.utilities import check_tz, get_lat_lon_cols

logger = logging.getLogger(__name__)


[docs]def curtail(resource, curtailment, random_seed=0): """Curtail the SAM wind resource object based on project points. Parameters ---------- resource : rex.sam_resource.SAMResource SAM resource object for WIND resource. curtailment : reV.config.curtailment.Curtailment Curtailment config object. random_seed : int | NoneType Number to seed the numpy random number generator. Used to generate reproducable psuedo-random results if the probability of curtailment is not set to 1. Numpy random will be seeded with the system time if this is None. Returns ------- resource : reV.handlers.sam_resource.SAMResource Same as the input argument but with the wind speed dataset set to zero where curtailment is in effect. """ shape = resource.shape # start with curtailment everywhere curtail_mult = np.zeros(shape) if curtailment.date_range is not None: year = resource.time_index.year[0] d0 = pd.to_datetime(datetime.datetime( month=int(curtailment.date_range[0][:2]), day=int(curtailment.date_range[0][2:]), year=year), utc=True) d1 = pd.to_datetime(datetime.datetime( month=int(curtailment.date_range[1][:2]), day=int(curtailment.date_range[1][2:]), year=year), utc=True) time_index = check_tz(resource.time_index) mask = (time_index >= d0) & (time_index < d1) mask = np.tile(np.expand_dims(mask, axis=1), shape[1]) curtail_mult = np.where(mask, curtail_mult, 1) elif curtailment.months is not None: # Curtail resource when in curtailment months mask = np.isin(resource.time_index.month, curtailment.months) mask = np.tile(np.expand_dims(mask, axis=1), shape[1]) curtail_mult = np.where(mask, curtail_mult, 1) else: msg = ('You must specify either months or date_range over ' 'which curtailment is possible!') logger.error(msg) raise KeyError(msg) # Curtail resource when curtailment is possible and is nighttime lat_lon_cols = get_lat_lon_cols(resource.meta) solar_zenith_angle = SolarPosition( resource.time_index, resource.meta[lat_lon_cols].values).zenith mask = (solar_zenith_angle > curtailment.dawn_dusk) curtail_mult = np.where(mask, curtail_mult, 1) # Curtail resource when curtailment is possible and not raining if curtailment.precipitation is not None: if 'precipitationrate' not in resource._res_arrays: warn('Curtailment has a precipitation threshold of "{}", but ' '"precipitationrate" was not found in the SAM resource ' 'variables. The following resource variables were ' 'available: {}.' .format(curtailment.precipitation, list(resource._res_arrays.keys())), HandlerWarning) else: mask = (resource._res_arrays['precipitationrate'] < curtailment.precipitation) curtail_mult = np.where(mask, curtail_mult, 1) # Curtail resource when curtailment is possible and temperature is high if curtailment.temperature is not None: mask = (resource._res_arrays['temperature'] > curtailment.temperature) curtail_mult = np.where(mask, curtail_mult, 1) # Curtail resource when curtailment is possible and not that windy if curtailment.wind_speed is not None: mask = (resource._res_arrays['windspeed'] < curtailment.wind_speed) curtail_mult = np.where(mask, curtail_mult, 1) if curtailment.equation is not None: # pylint: disable=W0123,W0612 wind_speed = resource._res_arrays['windspeed'] temperature = resource._res_arrays['temperature'] if 'precipitationrate' in resource._res_arrays: precipitation_rate = resource._res_arrays['precipitationrate'] mask = eval(curtailment.equation) curtail_mult = np.where(mask, curtail_mult, 1) # Apply probability mask when curtailment is possible. if curtailment.probability != 1: np.random.seed(seed=random_seed) mask = np.random.rand(shape[0], shape[1]) < curtailment.probability curtail_mult = np.where(mask, curtail_mult, 1) # Apply curtailment multiplier directly to resource resource.curtail_windspeed(resource.sites, curtail_mult) return resource