引用本文:陈杨,陈健,张文,倪筹帷,赵波.考虑电解槽和蓄电池寿命衰减特性的分布式电热氢系统优化调度策略[J].电力自动化设备,2023,43(12):135-142
CHEN Yang,CHEN Jian,ZHANG Wen,NI Chouwei,ZHAO Bo.Optimal scheduling strategy of distributed electric-thermo-hydrogen system considering lifetime decay characteristics of electrolytic cell and battery[J].Electric Power Automation Equipment,2023,43(12):135-142
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考虑电解槽和蓄电池寿命衰减特性的分布式电热氢系统优化调度策略
陈杨1, 陈健1, 张文1, 倪筹帷2, 赵波2
1.山东大学 电网智能化调度与控制教育部重点实验室,山东 济南 250061;2.国网浙江省电力有限公司电力科学研究院,浙江 杭州 310014
摘要:
可再生能源的强波动性会导致分布式电热氢系统中电解槽和蓄电池的寿命衰减加速,为了在提高分布式电热氢系统经济性的同时延长电解槽和蓄电池的使用寿命,提出一种考虑电解槽和蓄电池寿命衰减特性的分布式电热氢系统优化调度策略。分析电解槽和蓄电池的寿命衰减特性,建立电解槽和蓄电池的寿命衰减模型;以综合提升分布式电热氢系统中电解槽和蓄电池寿命以及系统经济性为优化目标,建立考虑电解槽和蓄电池寿命衰减特性的分布式电热氢系统优化调度模型,并利用场景生成法处理可再生能源和负荷的不确定性。以一个包含多种能量转换和存储设备的分布式电热氢系统为例进行仿真,结果验证了所提策略的有效性。
关键词:  可再生能源  分布式电热氢系统  电解槽  蓄电池  寿命衰减特性
DOI:10.16081/j.epae.202310029
分类号:
基金项目:国家重点研发计划项目(2018YFA0702200)
Optimal scheduling strategy of distributed electric-thermo-hydrogen system considering lifetime decay characteristics of electrolytic cell and battery
CHEN Yang1, CHEN Jian1, ZHANG Wen1, NI Chouwei2, ZHAO Bo2
1.Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan 250061, China;2.Electric Power Research Institute of State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310014, China
Abstract:
The strong fluctuation of renewable energy will lead to the life decay acceleration of electrolytic cell and battery in the distributed electric-thermo-hydrogen system. In order to extend the service life of electrolytic cell and battery while improve the economy of distributed electric-thermo-hydrogen system, an optimal scheduling strategy for distributed electric-thermo-hydrogen system is proposed considering the life decay characteristics of electrolytic cell and battery. The life decay characteristics of electrolytic cell and battery are analyzed, and the life decay models of electrolytic cell and battery are established. Taking the comprehensive improvement of the life of electrolytic cell and battery and the system economy in the distributed electric-thermo-hydrogen system as the optimal object, an optimal scheduling model of distributed electric-thermo-hydrogen system considering the life decay characteristics of electrolytic cell and battery is established, and the scenario generation method is used to deal with the uncertainty of renewable energy and load. A distributed electric-thermo-hydrogen system containing a variety of energy conversion and sto-rage devices is taken as an example for simulation, and the results verify the effectiveness of the proposed strategy.
Key words:  renewable energy  distributed electric-thermo-hydrogen system  electrolytic cell  electric batteries  lifetime decay characteristics

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