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<p>Aiming at the problems of single participation mode of existing hydrogen production and refueling integrated stations (HPRSs) in the electricity market, and the lack of multi-station aggregated trading mechanism, this paper proposes a market trading method for HPRS operator under hydrogen sharing mechanism. First, a trading mechanism is constructed for the HPRS operator to aggregate multiple HPRSs to participate in the day-ahead joint electricity energy and peak-regulation market. Second, based on the hydrogen sharing mechanism, a trading model for the HPRS operator and a day-ahead joint electricity energy-peak-regulation market clearing model are established. Then, a trading strategy solution method based on Differentially Private Consensus Alternating Direction Method of Multipliers (DP-C-ADMM) is proposed to ensure trading privacy and computational efficiency. Finally, simulations based on an improved IEEE 141-node distribution network verify that the proposed method can effectively enhance the operational revenue and peak-regulation potential of HPRSs, providing decision support for aggregated participation of HPRSs in electricity market trading.</p>

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Market trading method for hydrogen production and refueling integrated station operator under hydrogen sharing mechanism

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月14日

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  • Xiaoyan Zhao,
  • Zhouyang Ren,
  • Hao Cao,
  • Zihan Tong,
  • Ting Tang,
  • Longyuan Li,
  • Wencheng Wu

摘要

Aiming at the problems of single participation mode of existing hydrogen production and refueling integrated stations (HPRSs) in the electricity market, and the lack of multi-station aggregated trading mechanism, this paper proposes a market trading method for HPRS operator under hydrogen sharing mechanism. First, a trading mechanism is constructed for the HPRS operator to aggregate multiple HPRSs to participate in the day-ahead joint electricity energy and peak-regulation market. Second, based on the hydrogen sharing mechanism, a trading model for the HPRS operator and a day-ahead joint electricity energy-peak-regulation market clearing model are established. Then, a trading strategy solution method based on Differentially Private Consensus Alternating Direction Method of Multipliers (DP-C-ADMM) is proposed to ensure trading privacy and computational efficiency. Finally, simulations based on an improved IEEE 141-node distribution network verify that the proposed method can effectively enhance the operational revenue and peak-regulation potential of HPRSs, providing decision support for aggregated participation of HPRSs in electricity market trading.