Optimized allocation of hydrogen storage for integrated energy system based on fast nondominated sorting genetic algorithm

Dongxu Zhou, Jingzhou Xu, Can Zhang and Pengchao Wei

International Journal of Low-Carbon Technologies, 2025, vol. 20, 1036-1046

Abstract: In this paper, the optimal allocation of hydrogen storage capacity is studied by using fast nondominated sorting genetic algorithm. By analyzing the multienergy characteristics of hydrogen storage units, optimizing hydrogen storage distribution and improving energy efficiency, an optimal hydrogen storage model of multitimescale integrated energy system is established, and the model is solved by using fast nondominated sorting genetic algorithm, and the optimal configuration result of hydrogen production energy storage is obtained. Experiments show that the proposed method effectively optimizes hydrogen storage allocation, and reduces daily operating costs, equipment adjustment penalties, and total equipment adjustment.

Keywords: fast nondominated; sorting genetic algorithm; integrated energy system; hydrogen production and storage; optimal allocation; multitimescale (search for similar items in EconPapers)
Date: 2025
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