An Optimization Framework for Component Sizing and Energy Management in Electric-Hydrogen Hybrid Energy Storage Systems
2025
发表期刊IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (IF:8.6[JCR-2023],8.6[5-Year])
ISSN1949-3037
EISSN1949-3037
卷号PP期号:99
发表状态已发表
DOI10.1109/TSTE.2025.3547919
摘要

This paper proposes an optimization framework to address the component sizing and energy management problems in an electric-hydrogen hybrid energy storage system connected to a wind turbine. The total cost of the hybrid system is minimized using a particle swarm optimization (PSO) algorithm. In particular, four decision variables are optimized: the electrolyzer (EL) size, the supercapacitor (SC) size, and two parameters in the energy management strategy (EMS). To determine the power split factor for the wind power, the EMS introduces an artificial potential field (APF) and defines a virtual force based on the SC state of charge (SOC). Two APF parameters are optimized to tune the power allocation between the EL and the SC: the shaping parameter of the virtual force and the basis parameter of the power split factor. Since the cutoff frequency of the low pass filter (LPF) in the EMS is adaptively updated based on the optimized APF parameters, the proposed framework is referred to as the “OP-APF” framework. The effectiveness of the OP-APF framework is validated by performing MATLAB and real-time simulations. Compared to three baseline frameworks, OP-APF is more effective in reducing the system total cost, controlling the SC SOC, and alleviating the EL degradation.

关键词Benchmarking Competitive intelligence Electric energy storage Empowerment of personnel Enterprise resource planning Financial markets Hybrid power Industrial relations Virtual addresses Waste treatment Artificial potential fields Component sizing Electric-hydrogen system Electrolyzers Energy Hydrogen system Management strategies Particle swarm Particle swarm optimization Swarm optimization
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收录类别EI
语种英语
出版者Institute of Electrical and Electronics Engineers Inc.
EI入藏号20251118045084
EI主题词Hydrogen storage
EI分类号1009.4 Energy Storage ; 1103.1 Data Storage, Equipment and Techniques ; 1106.2 Data Handling and Data Processing ; 1501.1.1 Sustainable Transport ; 451.4 Industrial Wastes Treatment and Disposal ; 522.1 Gas Fuels ; 702 Electric Batteries and Fuel Cells ; 912.2 Management ; 912.3 Personnel ; 913.3 Quality Assurance and Control ; 971 Social Sciences
原始文献类型Article in Press
来源库IEEE
文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/496902
专题信息科学与技术学院
信息科学与技术学院_博士生
信息科学与技术学院_PI研究组_杨恒昭组
作者单位
1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China
2.Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China
3.University of Chinese Academy of Sciences, Beijing, China
4.Unit of Energy Conversion, RISE Research Institutes of Sweden, Borås, Sweden
5.Huzhou Yongxing Lithium Battery Technology Co., Ltd., Huzhou, China
6.Shanghai Aerospace Power Technology Co., Ltd., Shanghai, China
7.State Key Laboratory of Space Power Source Technology, Shanghai Institute of Space Power-Sources, Shanghai, China
8.China Aerospace Science and Technology Corporation, Beijing, China
9.School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, China
第一作者单位信息科学与技术学院
第一作者的第一单位信息科学与技术学院
推荐引用方式
GB/T 7714
Yuzhen Tang,Qian Xun,Zhuoqun Zheng,et al. An Optimization Framework for Component Sizing and Energy Management in Electric-Hydrogen Hybrid Energy Storage Systems[J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY,2025,PP(99).
APA Yuzhen Tang.,Qian Xun.,Zhuoqun Zheng.,Fanqi Min.,Chengwei Deng.,...&Hengzhao Yang.(2025).An Optimization Framework for Component Sizing and Energy Management in Electric-Hydrogen Hybrid Energy Storage Systems.IEEE TRANSACTIONS ON SUSTAINABLE ENERGY,PP(99).
MLA Yuzhen Tang,et al."An Optimization Framework for Component Sizing and Energy Management in Electric-Hydrogen Hybrid Energy Storage Systems".IEEE TRANSACTIONS ON SUSTAINABLE ENERGY PP.99(2025).
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