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作 者:Suliang Ma Zeqing Meng Mingxuan Chen Yuan Jiang
机构地区:[1]School of Electrical and Control Engineering,North China University of Technology,Beijing,100144,China [2]ChinaThree Gorges Technology Co.,Ltd.,Beijing,100032,China [3]School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing,100083,China
出 处:《Energy Engineering》2025年第1期63-84,共22页能源工程(英文)
基 金:sponsored by R&D Program of Beijing Municipal Education Commission(KM202410009013).
摘 要:In the independent electro-hydrogen system(IEHS)with hybrid energy storage(HESS),achieving optimal scheduling is crucial.Still,it presents a challenge due to the significant deviations in values ofmultiple optimization objective functions caused by their physical dimensions.These deviations seriously affect the scheduling process.A novel standardization fusion method has been established to address this issue by analyzing the variation process of each objective function’s values.The optimal scheduling results of IEHS with HESS indicate that the economy and overall energy loss can be improved 2–3 times under different optimization methods.The proposed method better balances all optimization objective functions and reduces the impact of their dimensionality.When the cost of BESS decreases by approximately 30%,its participation deepens by about 1 time.Moreover,if the price of the electrolyzer is less than 15¥/kWh or if the cost of the fuel cell drops below 4¥/kWh,their participation will increase substantially.This study aims to provide a more reasonable approach to solving multi-objective optimization problems.
关 键 词:Electro-hydrogen system multi-objective optimization standardization method hybrid energy storage system
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