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Operation strategy optimization of wind hydrogen electrolysis system considering degradation and price fluctuation

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  • Ao, Yunjin
  • Zhu, Liya
  • Xu, Yanyan
  • Li, Weizhuo
  • Zhao, Kai
  • Yu, Yinsheng

Abstract

To maximize the profit of the on-grid wind-hydrogen conversion system, an adaptive operating strategy optimization method based on mixed-integer linear programming (MILP) is proposed and verified in this study. The electrolyzer state transition model is applied to describe the production, standby, and shutdown states, thus the algorithm can arrange the electrolyzer operation adaptively without human intervention. The dynamic degradation model is integrated in the algorithm, which is correlated to the operating condition of the alkaline electrolyzer (AE), including load fluctuation and stop-start circles. The proposed method is verified in 4 typical scenarios of different seasons, where the wind power and electricity price fluctuation modes are totally different. The operation corresponds well with the ideal situation. The electrolysis system is set to full load when the electricity price is low to produce the most hydrogen. On the contrary, when the electricity is high, the power of the electrolysis system is turned low and even stopped, to sell as much electricity as possible to the grid. The standby and shutdown modes of the electrolyzer can be automatically chosen according to the stop duration, thus saving maintenance costs. Compared to the fixed load strategy, the proposed optimization method can increase the system profit by 2.32–5.26 percent.

Suggested Citation

  • Ao, Yunjin & Zhu, Liya & Xu, Yanyan & Li, Weizhuo & Zhao, Kai & Yu, Yinsheng, 2025. "Operation strategy optimization of wind hydrogen electrolysis system considering degradation and price fluctuation," Renewable Energy, Elsevier, vol. 253(C).
    • Handle: RePEc:eee:renene:v:253:y:2025:i:c:s0960148125011115
    DOI: 10.1016/j.renene.2025.123449
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    References listed on IDEAS

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