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Cooperative Construction of Renewable Energy and Energy Storage System: Research on Evolutionary Game Model Based on Continuous Strategy and Random Disturbance

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Listed:
  • Wei He

    (Three Gorges Electric Power Co., Ltd., Wuhan 430021, China)

  • Rujie Liu

    (Three Gorges Electric Power Co., Ltd., Wuhan 430021, China)

  • Tao Han

    (Three Gorges Electric Power Co., Ltd., Wuhan 430021, China)

  • Jicheng Zhang

    (Three Gorges Electric Power Co., Ltd., Wuhan 430021, China)

  • Yixun Lei

    (Three Gorges Electric Power Co., Ltd., Wuhan 430021, China)

  • Shan Xu

    (Three Gorges Electric Power Co., Ltd., Wuhan 430021, China)

  • Hongwei Yu

    (Institute of Quality Development Strategy, Wuhan University, Wuhan 430072, China)

  • Zhu Li

    (Electronic Information School, Wuhan University, Wuhan 430072, China)

Abstract

As the global push toward carbon neutrality accelerates, cooperation between power generation enterprises and energy storage companies plays a crucial role in the low-carbon transition of energy systems. However, there remains a lack of research on the stochastic dynamic mechanisms of cooperation evolution. This paper develops a stochastic evolutionary game model to analyze the cooperation evolution pathways between power generation enterprises and energy storage companies under different market parameter conditions. Sensitivity analysis is conducted to reveal the impact of factors such as market prices and power capacity on cooperation willingness. The results indicate that the dispatch optimization capability of storage technology and policy incentives significantly influence the willingness to cooperate. The study suggests that governments should enhance policy support and technological innovation to promote the sustainable development of energy systems.

Suggested Citation

  • Wei He & Rujie Liu & Tao Han & Jicheng Zhang & Yixun Lei & Shan Xu & Hongwei Yu & Zhu Li, 2024. "Cooperative Construction of Renewable Energy and Energy Storage System: Research on Evolutionary Game Model Based on Continuous Strategy and Random Disturbance," Energies, MDPI, vol. 17(23), pages 1-24, November.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:5858-:d:1527084
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    References listed on IDEAS

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    Cited by:

    1. Yan Li & Jun Wu & Xin-Ping Wang, 2025. "Research on the Diffusion of Green Energy Technological Innovation from the Perspective of International Cooperation," Energies, MDPI, vol. 18(11), pages 1-22, May.

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