Day-ahead optimal scheduling of hydro-wind-solar-hydrogen multi-energy coupling system considering spatiotemporal correlations of renewable energy processes

Due to the intrinsic spatiotemporal uncertainty of water, wind, and solar energy resources, there is a recent trend of cancellation policies. To address this challenge, leveraging the complementarity among different renewable energy resources and the role of hydrogen energy storage (HES) in enhancing the utilization rate of renewable energy resources, this study constructs a hydro-wind-solar-hydrogen (HWSH) multi-energy coupling system. To capture the spatiotemporal correlations of hydro, wind, and solar resources and generate sufficiently representative renewable energy scenarios, this study proposes a two-stage scenario generation method (TSGM). This method integrates multidimensional copulas and a time-series reconstruction approach based on stochastic differential equations and hybrid particle swarm optimization. Subsequently, an optimal scheduling model for the HWSH system is established, aiming to maximize economic benefits. Case study results demonstrate that 1) The TSGM effectively enhances the accuracy of scenario simulation, producing data closer to actual conditions. 2) The introduction of HES not only increases system revenue but also reduces water spillage of hydropower station. 3) After integrating HES, the revenue of system increases by 17.36 %, 1.48 %, and 4.39 % during the wet, normal, and dry seasons, respectively. Additionally, water spillage during the wet season decreases by 37.08 %.