@Article{ee.2024.057216,
AUTHOR = {Suliang Ma, Zeqing Meng, Mingxuan Chen, Yuan Jiang},
TITLE = {Optimal Scheduling of an Independent Electro-Hydrogen System with Hybrid Energy Storage Using a Multi-Objective Standardization Fusion Method},
JOURNAL = {Energy Engineering},
VOLUME = {122},
YEAR = {2025},
NUMBER = {1},
PAGES = {63--84},
URL = {http://www.techscience.com/energy/v122n1/59127},
ISSN = {1546-0118},
ABSTRACT = {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 of multiple 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.},
DOI = {10.32604/ee.2024.057216}
}