An optimal scheduling strategy for a wind-solar-hydropower-pumped storage complementary system considering source-load uncertainty

To enhance the flexibility regulation capability of new-type power systems and address the volatility and uncertainty brought by large-scale renewable energy integration， an optimal scheduling strategy for a wind-solar-hydro-pumped storage complementary system considering source-load uncertainty is proposed. An optimal scheduling model is established with the objective of maximizing the combined generation of hydropower stations and pumped storage power stations， and a quantitative flexibility regulation capability index is introduced. Production simulations are performed for four typical daily scenarios with seasonal variations and one special extreme scenario， obtained using K-means clustering. The flexibility regulation capability of hydropower and pumped storage is analyzed. The results show that the strategy can reasonably allocate the generation output， thereby achieving optimal scheduling.