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

Author

Listed:
  • Dongxu Zhou
  • Jingzhou Xu
  • Can Zhang
  • Pengchao Wei

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.

Suggested Citation

  • Dongxu Zhou & Jingzhou Xu & Can Zhang & Pengchao Wei, 2025. "Optimized allocation of hydrogen storage for integrated energy system based on fast nondominated sorting genetic algorithm," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 20, pages 1036-1046.
    • Handle: RePEc:oup:ijlctc:v:20:y:2025:i::p:1036-1046.
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    File URL: http://hdl.handle.net/10.1093/ijlct/ctaf051
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