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