Short-Term Wind Power Forecasting Based on Similar Days and Artificial Neural Network
Liao Yong · Power System Technology · 2010
It is significant to forecast short-term generated power of wind farm for the security and stability of grid-connected wind farm.According to the factors impacting wind power output a method to select similar days of wind farm's generated power is proposed and a short-term wind power forecasting model based on similar days and Chebyshev neural network is designed.The designed model is verified by the data of a certain wind farm located in Yunnan province,and the forecasting error and its probability distribution are analyzed.Analysis results show that the results forecasted by the designed forecasting model possess high accuracy,so it is available for reference in wind power forecasting.