Research on Wind Speed Forecasting Method of Wind Farm Based on Whale Optimization Algorithm-Hybrid Copula Function Correlation Analysis

Abstract

Accurate wind speed prediction can effectively improve the power generation of wind turbines and realize the efficient use of wind energy. However, a large number of wind turbines exist in a wind farm, and complex temporal and spatial dependencies exist among the wind speeds of wind turbines, leading to difficulties in improving the accuracy of wind speed prediction. Therefore, this paper proposed a correlation analysis method by combining the whale optimization algorithm and hybrid copula function and constructed a wind speed prediction model based on spatiotemporal analysis. Mixing multiple single-copula functions and using a whale optimization algorithm for parameter solving can improve the level of correlation analysis and lay the foundation for obtaining accurate wind speed predictions. Taking the actual operation data of wind turbines in a certain area of My country as an example, the single copula prediction results are compared with the mixed copula prediction results. Experimental results show that the method proposed in this paper can effectively analyze the wind speed correlation of wind turbines and improve the accuracy of wind speed prediction.