Research on Optimal Capacity Configuration of Complementary Power Generation System Considering Wind-Solar Uncertainty

To address future large-scale uncertainties in long-distance power delivery and safe economic grid connection of new energy, it is necessary to promote the efficient joint operation with new energy and flexible energy storage to meet the channel capacity requirements, while considering the flexible retrofitting of thermal power. Taking a large-scale renewable energy base in northern China as an example and considering the randomness and volatility of wind and solar energy, a multi-energy complementary capacity configuration optimization model was constructed based on the joint probability distribution of wind and solar energy using the Copula function. The improved sparrow search algorithm was used to solve the optimal capacity configuration scheme, and simulation analysis was performed for typical days in summer and winter. The influence of pumped storage power stations with different installed capacities on the volatility of thermal power units, system costs, operating conditions and environmental benefits was compared. Results show that the multi-energy complementary power generation system can both improve operating conditions and enhance the economy of operation, with significant environmental benefits.