Optimal Scheduling of Hydro-Wind-Solar Integrated Energy System Considering Uncertainties

This paper develops an optimal scheduling model for a hydro-wind-solar integrated energy system considering the uncertainties in wind and solar power (WSP) generation. First, the Copula method is utilized to obtain probabilistic WSP output data for typical days. Then, the intra-day complementary characteristics of WSP are analyzed. Additionally, an optimal scheduling model is established to minimize residual load fluctuations and incorporate constraints such as water levels, flow rates, and wind-solar output. Furthermore, the model is solved by Gurobi solver, and the optimal scheduling schemes for the typical days are obtained. Finally, to validate the practicality and effectiveness of the proposed model, Xiaowan hydropower station is applied for case study.