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A Multi-Subject Game-Based Operation Strategy for VPPs Integrating Wind-Solar-Storage

Author

Listed:
  • Hengyu Liu

    (The School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
    Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China)

  • Qingqi Zhao

    (The School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
    Skills Training Center of State Grid Liaoning Electric Power Co., Ltd., Jinzhou 121000, China)

  • Yang Liu

    (The School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Zuoxia Xing

    (The School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Dawei Hu

    (The School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
    Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China)

  • Pengfei Zhang

    (The School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Zhi Zhang

    (Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China)

  • Jiazheng Sun

    (Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China)

Abstract

Along with the continuous development of renewable energy sources (RES) such as wind power and photovoltaic, a large proportion of RES were connected to the power grid. However, the volatility and intermittency of RES threaten the safe and stable operation of the power system. Virtual power plants (VPPs) were introduced to solve such problems. In order to study the cooperation mode of integrating wind-solar-storage for multi VPPs, this paper established multi-objective individual and joint dispatching model for single VPP and multi VPPs with wind-solar-storage, respectively. Then, this paper analyzed the cooperation and the fair distribution of benefits between VPPs. By establishing the competitive strategies of the participating subjects and integrating the Shapley value to effectively distribute the benefits, the cooperative game theory was applied to effectively enhance the benefit in the VPP, to maximize the economic benefits, and to reduce the RES uncertainty risks and carbon emissions, which provided new ideas for the subsequent research on the optimal operation of RES and their engineering applications. NSGA-II was adopted to solve the multi-objective optimization problem. The strategy achieved a 10.1% reduction on the original peak load. It could effectively reduce the peak load of the VPP and ensure the accuracy of load regulation, to reach 12% of the total capacity of the VPP.

Suggested Citation

  • Hengyu Liu & Qingqi Zhao & Yang Liu & Zuoxia Xing & Dawei Hu & Pengfei Zhang & Zhi Zhang & Jiazheng Sun, 2023. "A Multi-Subject Game-Based Operation Strategy for VPPs Integrating Wind-Solar-Storage," Sustainability, MDPI, vol. 15(7), pages 1-18, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:6278-:d:1117101
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    References listed on IDEAS

    as
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    3. Zamani, Ali Ghahgharaee & Zakariazadeh, Alireza & Jadid, Shahram, 2016. "Day-ahead resource scheduling of a renewable energy based virtual power plant," Applied Energy, Elsevier, vol. 169(C), pages 324-340.
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