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To address hydrogen-to-oxygen (HTO) concentration exceedances in alkaline water electrolysis (AWE) hydrogen production systems under renewable energy fluctuations, this study proposes a control strategy based on dynamic parameter optimization. A coordinated control framework integrating optimal pressure operating curve tracking (OCT) strategy and adaptive electrolyte flow regulation was developed, which not only effectively suppresses HTO concentrations but also features practical engineering feasibility. Dynamic simulations using 48-hour wind power input profiles demonstrate that the coupled control strategy reduces HTO concentration peaks by 40% and avoids unplanned system shutdowns. These findings provide technical support for the safe and stable operation of large-scale renewable hydrogen production systems.

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Hydrogen to Oxygen Management Strategy in Alkaline Electrolysis Hydrogen Production Systems with Dynamic Parameter Optimization

  • 会议论文

  • 发表日期：

    2026年

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  • Lingjun Song,
  • Junshi Zhang,
  • Zheng Zhang,
  • Yushuo Sun,
  • Yuwei Song,
  • Dongchen Wang

摘要

To address hydrogen-to-oxygen (HTO) concentration exceedances in alkaline water electrolysis (AWE) hydrogen production systems under renewable energy fluctuations, this study proposes a control strategy based on dynamic parameter optimization. A coordinated control framework integrating optimal pressure operating curve tracking (OCT) strategy and adaptive electrolyte flow regulation was developed, which not only effectively suppresses HTO concentrations but also features practical engineering feasibility. Dynamic simulations using 48-hour wind power input profiles demonstrate that the coupled control strategy reduces HTO concentration peaks by 40% and avoids unplanned system shutdowns. These findings provide technical support for the safe and stable operation of large-scale renewable hydrogen production systems.