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A Cooperative Game-Based Sizing and Configuration of Community-Shared Energy Storage

Author

Listed:
  • Yuzhe Xie

    (State Grid Ningbo Power Supply Company, Ningbo 315000, China)

  • Yan Yao

    (Ningbo Electric Power Design Institute Company, Ningbo 315000, China)

  • Yawu Wang

    (Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 201100, China)

  • Weiqiang Cha

    (State Grid Ningbo Power Supply Company, Ningbo 315000, China)

  • Sheng Zhou

    (State Grid Ningbo Power Supply Company, Ningbo 315000, China)

  • Yue Wu

    (State Grid Ningbo Power Supply Company, Ningbo 315000, China)

  • Chunyi Huang

    (Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 201100, China)

Abstract

Sizing and configuring community-shared energy storage according to the actual demand of community users is important for the development of user-side energy storage. To solve this problem, this paper first proposes a community energy storage cooperative sharing mode containing multiple transaction types and then establishes a sizing and configuration model of community-shared energy storage based on a cooperative game among community users and energy storage operators, in which the loss caused by the capacity decay of energy storage is quantified by a dynamic power loss cost factor. To improve the solving efficiency, a distributed and cooperating solving method based on ADMM is used to solve the sizing and configuration model. On this basis, the bilateral Shapley method is used to allocate the total annual cost according to the marginal expected cost brought by each user. Compared with existing strategies, this paper calculates the economic benefits of community-shared energy storage based on several typical days of each year and quantifies the capacity decay of energy storage by a dynamic power loss cost factor which increases year by year to be closer to the real situation. Finally, the simulation verifies that the model proposed in this paper can be used for the sizing and configuration of community-shared energy storage. Compared with the original annual cost, the total annual cost of the community is reduced by 3.92%, and the annual operation cost of the community which equals annual electricity purchasing cost minus annual electricity selling income plus annual power loss cost is reduced by 25.6%.

Suggested Citation

  • Yuzhe Xie & Yan Yao & Yawu Wang & Weiqiang Cha & Sheng Zhou & Yue Wu & Chunyi Huang, 2022. "A Cooperative Game-Based Sizing and Configuration of Community-Shared Energy Storage," Energies, MDPI, vol. 15(22), pages 1-17, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8626-:d:975735
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    References listed on IDEAS

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    Cited by:

    1. Wang He & Min Liu & Chaowen Zuo & Kai Wang, 2023. "Massive Multi-Source Joint Outbound and Benefit Distribution Model Based on Cooperative Game," Energies, MDPI, vol. 16(18), pages 1-19, September.

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