基于风功率三参数幂律模型预测日前调频需求的调频辅助服务市场研究

Due to the strong random uncertainty of wind power, the demand forecasting method based on artificial experience is not suitable for the system with large-scale wind power. In addition, the problem of active power economic distribution with large-scale wind power system belongs to the category of uncertain optimization problem. Therefore, based on the analysis results of wind power measurement data, this paper proposed a method of forecasting the demand for frequency modulation. Also, a day-ahead frequency modulation ancillary service market transaction model with large-scale wind power based on the three-parameter power law model was established. And the robust optimization method was used to solve the proposed uncertainty model. Finally, the economics of the prediction methods based on the empirical formula and the three-parameter power law model were compared comprehensively. The simulation results show that the proposed frequency modulation demand forecasting method based on the three-parameter power law model can significantly reduce the system frequency modulation cost.