Demand-Responsive Virtual Power Plant Optimization Scheduling Method Based on Competitive Bidding Equilibrium

Abstract With the reform of power marketization, the price of electricity will be deregulated. Under the independent pricing mechanism and the emergence of multiple operating subjects within virtual power plant (VPP), the traditional operation control methods of VPP and their price mechanisms are difficult to adapt to the new environment. A demand-response VPP optimize scheduling method based on competitive bidding equilibrium was proposed in the paper, which simulates the bidding progress in VPP and supports the interaction between virtual power plant and the traditional large power grid. During the operation of VPP, the difference price operation method is adopted, and the internal clearing price is determined based on the bidding of the local power supply resources and the price information of the large grid. The internal clearing price guides the optimal operation of virtual power plant. Finally, through an example analysis, the correctness of the proposed method and the cost optimization effect were verified.