Research on Demand Side Resource Optimization and Scheduling Method for Power System Including Electric Vehicles

Under the background of the “dual carbon target”, large-scale renewable energy is integrated into the power system, and a new type of power system with a high proportion of new energy has been basically formed. How-ever, the randomness and volatility of new energy will bring huge challenges to the operation of the power system. As an important load side flexible regulation resource, electric vehicles have not been deeply utilized. Electric vehicle energy storage has the characteristics of small capacity and wide spatial distribution, making it difficult to directly participate in power resource scheduling. Based on this, this article proposes a demand side resource optimization scheduling method for power systems including electric vehicles. Establish a two-stage operation optimization scheduling model for virtual power plants that takes into account the energy storage needs of electric vehicles, and use reverse induction to solve the optimization problems in each stage. The analysis results indicate that this method can effectively coordinate and schedule the vehicle grid system, improve the economic benefits of the power system, and is of great significance for the sustainable development of the new power system.