综合智慧能源2026，Vol.48Issue(1)：43-58,16.DOI:10.3969/j.issn.2097-0706.2026.01.005
基于SC-SAC算法的REHMIS-IES优化调度策略
Optimal scheduling strategy for REHMIS-IES based on SC-SAC algorithm
摘要
Abstract
The renewable energy-hydrogen-methanol integrated station(REHMIS)produces green hydrogen using electricity generated from renewable energy sources,and further synthesizes methanol from the green hydrogen and carbon dioxide,thereby achieving the substitution of green hydrogen for hydrogen produced from conventional fossil fuels.To simultaneously meet the methanol load demand of REHMIS and the multi-energy demand of its supporting buildings,a novel integrated energy system(IES)topology named REHMIS-IES was designed.To obtain an efficient operation strategy for REHMIS-IES,an execution framework based on the strictly constrained soft actor-critic(SC-SAC)algorithm was proposed.The established mathematical model was transformed into a Markov decision process,and a state constraint mechanism(SCM)was incorporated to prevent drastic fluctuations in the state of the energy storage system.In the execution stage of the SC-SAC algorithm,the trained Q-network and action constraints were transformed into a mixed-integer linear programming(MILP)model to ensure that scheduling decisions could comply with all operational constraints.The results from multi-scenario simulations showed that the proposed system could effectively reduce operating costs while meeting multi-energy demands.Compared with other deep reinforcement learning algorithms,the SC-SAC algorithm could lower the system energy imbalance by approximately 16.2%and reduce operating costs by at least 11.7%.关键词
可再生能源-制氢-制甲醇一体化站/绿氢/储能/综合能源系统/深度强化学习/状态约束机制/软演员-评论家算法/混合整数线性规划Key words
renewable energy-hydrogen-methanol integrated station/green hydrogen/energy storage/integrated energy system/deep reinforcement learning/state constraint mechanism/soft actor-critic algorithm/mixed-integer linear programming分类
能源科技引用本文复制引用
潘雷,丁云飞,庞毅,王宇璇,陈建伟,高瑞,张立阳..基于SC-SAC算法的REHMIS-IES优化调度策略[J].综合智慧能源,2026,48(1):43-58,16.基金项目
天津市重点研发计划项目(25YFXTHZ00530)Key Research and Development Project of Tianjin(25YFXTHZ00530) （25YFXTHZ00530）
