Study on the comprehensive evaluation method of regional wind power prediction

Abstract

Wind power short-term power prediction is an important index to evaluate the level of wind power operation, and it is also an important parameter to guide the safe operation of power system. Considering the singleness one-sidedness of the existing evaluation index, this paper aims to construct a comprehensive evaluation index system for regional wind power forecasting. The traditional single evaluation index is extended to the multiple evaluation system of power prediction. Then, this paper puts forward a comprehensive evaluation index of wind farm power prediction based on maximizing deviations and grey correlation analysis, which can eliminate the artificial factors to the weight distribution of multiple evaluation indexes to a large extent. Finally, the comprehensive evaluation method is applied to an application example. The results show that the comprehensive evaluation index not only can evaluate the regional wind power prediction scientifically and comprehensively, but also can guide the optimization direction of power prediction, and has good application value and promotion prospects.