Matching Optimization of Wind-Solar Complementary Power Generation System Based on Joint Probability Distribution

The intermittency, randomness and volatility of wind power and photovoltaic power generation bring trouble to power system planning. The capacity configuration of integrated energy system including wind power photovoltaic usually does not consider the uncertainty of wind power output, resulting in too idealized system capacity configuration and low equipment utilization. In this paper, Copula theory is applied to establish the joint probability distribution model of wind farm and photovoltaic power plant output, and the typical daily output sequence is obtained. A capacity matching method of wind-wind complementary system based on stochastic programming is proposed to effectively suppress the output fluctuation of new energy generation. Finally, a typical daily wind-solar output scenario is generated according to the measured data, and the capacity ratio of the wind-solar complementary system is optimized by analyzing the example.