Achieving the dual-carbon goal necessitates the extensive use of renewable energy sources, while wind and light energy are unstable, so it is important to build a virtual power plant that can significantly consume renewable energy in situ. In this paper, the cooperative operation of virtual power plant with multiple members is studied. Firstly, a framework model of virtual power plant is constructed based on the consideration of operation cost and benefit distribution, and a cooperative alliance is constructed for the three subjects, which is solved by the cplex solver, and an improved Shapley’s value method is proposed for the benefit distribution of each member of the VPP. Finally, by analyzing examples, we have demonstrated that the proposed model is effective. It significantly reduces the system’s total energy cost and the improved sharply value method can play a very good effect on the allocation of the alliance.

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Optimal Scheduling of Virtual Power Plant Benefit Distribution Based on Multi-actor Game

  • Meng Zhao,
  • Fangfang Sun,
  • Jie Liu,
  • Pengfei Pan,
  • Lin Liu,
  • Zhibo Xie

摘要

Achieving the dual-carbon goal necessitates the extensive use of renewable energy sources, while wind and light energy are unstable, so it is important to build a virtual power plant that can significantly consume renewable energy in situ. In this paper, the cooperative operation of virtual power plant with multiple members is studied. Firstly, a framework model of virtual power plant is constructed based on the consideration of operation cost and benefit distribution, and a cooperative alliance is constructed for the three subjects, which is solved by the cplex solver, and an improved Shapley’s value method is proposed for the benefit distribution of each member of the VPP. Finally, by analyzing examples, we have demonstrated that the proposed model is effective. It significantly reduces the system’s total energy cost and the improved sharply value method can play a very good effect on the allocation of the alliance.