Research on Medium and Long-Term Electrical Power Prediction of Wind Farm Based on GA-BP Algorithm

Abstract

The medium- and long-term forecast of wind power is of great significance for the operation and maintenance of wind farms and the dispatch and trading of electricity. At present, the research on ultra-short-term and short-term prediction of wind power has achieved phased research results, but the research on medium- and long-term prediction of wind power has not made substantial progress, and the prediction effect is difficult to meet the needs of practical engineering applications. Now, a wind farm in Anyang area is taken as the research object, the historical meteorological information and wind power data of the wind farm are used, and the genetic algorithm is used to optimize the BP neural network to construct a medium- and long-term wind power composite prediction model. According to the matlab simulation results, the prediction results of the BP neural network model without optimization fluctuate greatly and the accuracy is not enough, but the composite prediction model solves these problems well and meets the needs of practical applications.