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Two-stage multiple cooperative games-based joint planning for shared energy storage provider and local integrated energy systems

Author

Listed:
  • Chen, Changming
  • Zhu, Yongqing
  • Zhang, Tianhan
  • Li, Qingsheng
  • Li, Zhen
  • Liang, Hongle
  • Liu, Chang
  • Ma, Yuanqian
  • Lin, Zhenzhi
  • Yang, Li

Abstract

In the context of the Energy Internet and the shared economy, it is necessary to develop appropriate planning and distributed solving methods to facilitate the application of shared energy storage among local integrated energy systems. This paper proposes a two-stage multiple cooperative games-based joint planning method for the local integrated energy systems coalition and shared energy storage provider. In the first stage, a joint planning model for the local integrated energy systems coalition and shared energy storage provider is established under the improved Nash bargaining framework, and a solving algorithm based on an improved alternating direction method is proposed to achieve distributed computation. In the second stage, a shared energy storage cost allocation model of the local integrated energy systems coalition is proposed under the improved Nucleolus method framework, and a solving algorithm based on the constraint generation technique is proposed to reduce the model computing time and realize rational shared energy storage cost allocation. Case studies on a shared energy storage provider and multiple local integrated energy systems are conducted to verify the effectiveness and advantages of the proposed model, and simulation results demonstrate that the total costs of the local integrated energy systems coalition are reduced, the profits of shared energy storage provider are increased, and the model computing time is reduced compared with other counterparts.

Suggested Citation

  • Chen, Changming & Zhu, Yongqing & Zhang, Tianhan & Li, Qingsheng & Li, Zhen & Liang, Hongle & Liu, Chang & Ma, Yuanqian & Lin, Zhenzhi & Yang, Li, 2023. "Two-stage multiple cooperative games-based joint planning for shared energy storage provider and local integrated energy systems," Energy, Elsevier, vol. 284(C).
    • Handle: RePEc:eee:energy:v:284:y:2023:i:c:s0360544223025082
    DOI: 10.1016/j.energy.2023.129114
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    Cited by:

    1. Li, Hongze & Li, Xumeng & Zhang, Yuanyuan & Zhao, Yihang & Pan, Jiaqi & Zhao, Huiru, 2024. "Declaration strategy of wind power and pumped storage participating in the power market considering multiple uncertainties," Energy, Elsevier, vol. 293(C).
    2. He, Ye & Wu, Hongbin & Wu, Andrew Y. & Li, Peng & Ding, Ming, 2024. "Optimized shared energy storage in a peer-to-peer energy trading market: Two-stage strategic model regards bargaining and evolutionary game theory," Renewable Energy, Elsevier, vol. 224(C).

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