In order to solve the challenges brought by the access of distributed renewable energy sources to the dual-side operation of virtual power plants, an optimal scheduling model of virtual power plant alliance based on cooperative game is proposed. Firstly, an optimization model of demand-side user-VPP-supply-side equipment alliance cooperative game is established with Virtual Power Plant (VPP) as the intermediary; secondly, an improved Shapley value allocation method is used to reasonably allocate the alliance revenue; finally, an example simulation is carried out to verify the validity and economy of the VPP alliance cooperative game model.

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Optimization Scheduling of Virtual Power Plant Alliances Based on Cooperative Game Theory

  • Xurong Jin,
  • Xuenian Zhou,
  • Wei Li,
  • Guobin Wang,
  • Lele Wang,
  • Guohua Yang,
  • Na Yang,
  • Jiang Yin

摘要

In order to solve the challenges brought by the access of distributed renewable energy sources to the dual-side operation of virtual power plants, an optimal scheduling model of virtual power plant alliance based on cooperative game is proposed. Firstly, an optimization model of demand-side user-VPP-supply-side equipment alliance cooperative game is established with Virtual Power Plant (VPP) as the intermediary; secondly, an improved Shapley value allocation method is used to reasonably allocate the alliance revenue; finally, an example simulation is carried out to verify the validity and economy of the VPP alliance cooperative game model.