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Adaptive energy optimization strategy of island renewable power-to-hydrogen system with hybrid electrolyzers structure

Author

Listed:
  • Yu, Binbin
  • Fan, Guangyao
  • Sun, Kai
  • Chen, Jing
  • Sun, Bo
  • Tian, Peigen

Abstract

Islands, rich in solar, wind, and wave energy, present an opportunity for sustainable electrolytic hydrogen production. The challenge lies in the variability of 100 % renewable energy, affecting hydrogen output and electrolyzers' lifespan. To address this, a flexible hybrid electrolyzers structure is designed. It cleverly utilizes the low cost and high efficiency of alkaline electrolyzer to absorb the stable renewable energy component, and the rapid response capability of proton exchange membrane electrolyzer to absorb the fluctuating renewable energy component. Thus, it achieves efficient and long-lasting hydrogen production. Then, an operational optimization strategy is proposed to achieve the optimal hydrogen production scheme for this structure. This strategy includes an electrolyzer scheduling model that considers the dynamic process of state transitions and life degradation under the impact of fluctuating power sources. Furthermore, it encompasses an optimization algorithm balanced for scheduling accuracy, solving efficiency, and reduced risk of local optima through a bi-level fuzzy controller, simplifying the search space. Case studies demonstrated the hybrid structure's effectiveness in minimizing lifespan degradation and maximizing profits, validating the optimization method's capacity to quickly find the optimal scheduling plan. Results showed improvements of 6.6 % in annual return, 13.4 % in device lifespan, and 30.1 % in optimization time.

Suggested Citation

  • Yu, Binbin & Fan, Guangyao & Sun, Kai & Chen, Jing & Sun, Bo & Tian, Peigen, 2024. "Adaptive energy optimization strategy of island renewable power-to-hydrogen system with hybrid electrolyzers structure," Energy, Elsevier, vol. 301(C).
  • Handle: RePEc:eee:energy:v:301:y:2024:i:c:s0360544224012817
    DOI: 10.1016/j.energy.2024.131508
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