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<p>Aiming at the problems of collaborative operation and benefit allocation in the multi-energy complementary system of renewable energy, this paper proposes a market transaction revenue allocation strategy for the hydro-wind-photovoltaic-hydrogen joint system (HWPHs) based on the Aumann–Shapley value method. Firstly, a joint operation benefit model considering the characteristics of electricity trading and multi-energy complementary coupling is constructed to achieve benefit maximization by participating in the peak-valley electricity price trading in the power market. Secondly, a distributed optimization algorithm based on the Alternating Direction Method of Multipliers is adopted, and a dual convergence criterion is established to obtain the optimal trading power, which can protect the privacy of each entity and improve the efficiency. Finally, the Aumann-Shapley value method is introduced to quantify the marginal contribution of each entity and solve the problem of revenue distribution. The results show that this model improves the comprehensive benefits of the system, and the benefit allocation scheme meets the requirements of alliance stability and individual rationality. It provides a new framework and approach for the collaborative optimization of multi-energy systems and holds significant value for the establishment of a cooperation mechanism in new-type power systems.</p>

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Market transaction revenue allocation strategy for the hydro-wind-photovoltaic-hydrogen joint system based on the Aumann–Shapley value method

  • 期刊论文

  • 发表日期：

    2026年5月4日

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  • Hong Tan,
  • Kening Meng,
  • Sumin Guan,
  • Qingping Ye,
  • Lei Wang,
  • Hanli Weng

摘要

Aiming at the problems of collaborative operation and benefit allocation in the multi-energy complementary system of renewable energy, this paper proposes a market transaction revenue allocation strategy for the hydro-wind-photovoltaic-hydrogen joint system (HWPHs) based on the Aumann–Shapley value method. Firstly, a joint operation benefit model considering the characteristics of electricity trading and multi-energy complementary coupling is constructed to achieve benefit maximization by participating in the peak-valley electricity price trading in the power market. Secondly, a distributed optimization algorithm based on the Alternating Direction Method of Multipliers is adopted, and a dual convergence criterion is established to obtain the optimal trading power, which can protect the privacy of each entity and improve the efficiency. Finally, the Aumann-Shapley value method is introduced to quantify the marginal contribution of each entity and solve the problem of revenue distribution. The results show that this model improves the comprehensive benefits of the system, and the benefit allocation scheme meets the requirements of alliance stability and individual rationality. It provides a new framework and approach for the collaborative optimization of multi-energy systems and holds significant value for the establishment of a cooperation mechanism in new-type power systems.