Research on wind power prediction based on Doppler Sodar
Yang Gao, Xinlei Shu, Baoliang Liu, Sun Wenzhong, Zhao Mingjiang, Ziyan Zhang
Abstract
In the process of decomposing the original signal, Doppler sodar used to measure the wind speed can effectively strip the high frequency, intermediate frequency and low frequency signals from each other by the empirical mode decomposition in wind power prediction. The prediction process of the model used in this paper and the evaluation index of the results. In order to verify the effect of the model, the measured data of an offshore wind farm in the coastal area of East Asia from January to April 2019 were selected for strict and standardized verification. The collected raw data are input into the empirical mode decomposition of the collection accurately and normatively, thereby obtaining accurate and complete modal components. At the same time, they are divided into three categories of intermediate frequency, low frequency and high frequency according to their fluctuation characteristics. Through the selected indicators for a comprehensive and objective evaluation, it is understood by testing that the model created in this paper has good feasibility and effectiveness, not only high prediction accuracy, but also fast calculation speed.