综合智慧能源2025，Vol.47Issue(12)：34-45,12.DOI:10.3969/j.issn.2097-0706.2025.12.004
考虑风、光出力时空相关性的电-氢协同储能系统经济性优化调度研究
Economic optimal scheduling of electricity-hydrogen coordinated energy storage system considering spatiotemporal correlation of wind and photovoltaic power outputs
摘要
Abstract
In China,there is a spatiotemporal mismatch between the areas rich in wind and solar energy resources and the load centers.By leveraging the correlation and complementarity between wind and solar energy within the same region,an electricity-hydrogen coordinated energy storage model was proposed,which was an effective technical approach to mitigate the adverse impact of renewable energy output on the power grid.The probability distribution patterns of wind and photovoltaic power output data were fitted using the nonparametric kernel density estimation method,and time-series scenarios considering the spatiotemporal correlation of wind and photovoltaic power were generated using Copula theory.By considering the correlation between wind and photovoltaic power generation,an economic day-ahead optimal scheduling model for the integrated electricity-hydrogen coordinated energy system was further established,and solved using the adaptive simulated annealing particle swarm optimization(ASA-PSO)algorithm.The simulation results showed that compared to the basic PSO algorithm,the ASA-PSO algorithm demonstrated superior solving speed and accuracy.The economic day-ahead optimal scheduling scheme for the electricity-hydrogen coordinated energy storage system reduced daily operating costs by approximately 19%,avoided large-scale electricity purchases during peak price periods,and enabled local consumption of fluctuating renewable energy.It provides a flexible electricity-hydrogen matching approach for constructing a grid-friendly and large-scale power system.关键词
电-氢耦合/储能/可再生能源/Copula理论/核密度估计/经济性/优化调度/ASA-PSO算法Key words
electricity-hydrogen coupling/energy storage/renewable energy/Copula theory/kernel density estimation/economic efficiency/optimal scheduling/ASA-PSO algorithm分类
能源科技引用本文复制引用
王芊瑞,阮景昕,王跃社..考虑风、光出力时空相关性的电-氢协同储能系统经济性优化调度研究[J].综合智慧能源,2025,47(12):34-45,12.基金项目
国家重点研发计划项目(2024YFF0505802)National Key R&D Program of China(2024YFF0505802) （2024YFF0505802）
