Research on the correlation of wind farms’ outputs based on fluctuation division and time shift technique

In order to accurately understand the chrematistics of wind farm’ output, it is necessary to consider the correlation of the outputs of multiple wind farms. In this paper, a method for analyzing the correlation of multiple wind farms’ outputs based on fluctuation division and time shift technology is proposed. Firstly, the overall correlation characteristics of multiple wind farms are obtained by using sequential scatter diagram analysis and regression analysis. Then, the fluctuation process of wind farms is divided and paired by output fluctuation division and output fluctuation pairing algorithm. Finally, the time shift technique of Pearson correlation coefficient and granger causality test are used to obtain the optimal time shift quantity and direction. It can be verified by concrete examples that this method can accurately extract the local characteristics of wind farm output fluctuation, and then more accurately describe the relevant characteristics of wind farm output.