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A Game-Theoretic Approach of Optimized Operation of AC/DC Hybrid Microgrid Clusters

Author

Listed:
  • Xuewei Pan

    (School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China)

  • Fan Yang

    (School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China)

  • Peiwen Ma

    (School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China)

  • Yijin Xing

    (School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China)

  • Jinye Zhang

    (School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China)

  • Lingling Cao

    (School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China)

Abstract

To maximize the benefits of microgrid clusters, a general model and analysis method for studying the optimized operation of AC/DC microgrid clusters using non-cooperative games is proposed. This paper first establishes the optimized objective function of an AC/DC microgrid for economic operations. Based on the supply and demand theory, the dynamic adjustment mechanism of electricity price is introduced into microgrid clusters, and a game model for the optimal operation of multiple microgrids is established. The Nash equilibrium solution of the established model is obtained by iterative search algorithm, and the convergence of the Nash equilibrium solution is also proven. Finally, the validity and economy of the proposed model are verified by the actual case.

Suggested Citation

  • Xuewei Pan & Fan Yang & Peiwen Ma & Yijin Xing & Jinye Zhang & Lingling Cao, 2022. "A Game-Theoretic Approach of Optimized Operation of AC/DC Hybrid Microgrid Clusters," Energies, MDPI, vol. 15(15), pages 1-22, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5537-:d:876175
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    References listed on IDEAS

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    2. Zhang, Bingying & Li, Qiqiang & Wang, Luhao & Feng, Wei, 2018. "Robust optimization for energy transactions in multi-microgrids under uncertainty," Applied Energy, Elsevier, vol. 217(C), pages 346-360.
    3. Liu, Yixin & Guo, Li & Wang, Chengshan, 2018. "A robust operation-based scheduling optimization for smart distribution networks with multi-microgrids," Applied Energy, Elsevier, vol. 228(C), pages 130-140.
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