Virtual Power Plant Bidding Strategy from the Power Demand Side Perspective

With the development of the new power system and the continuous deepening of the power market reform, the participation modes of power demand - side resources in the market have become diversified. Virtual power plants integrate distributed demand resources and play dual roles of both buyers and sellers in the market, enabling the optimization of power resource allocation. In order to comprehensively optimize power trading, this study starts from the perspective of the power demand side and constructs a bidding model for virtual power plants participating in the day-ahead power market. It focuses on electric vehicle scheduling and demand response strategies, and analyzes their impacts on the economic performance of virtual power plants as well as the internal action mechanisms of operation strategies on the cost structure. Through case studies to optimize the bidding electricity volume and combined with flexible scheduling and demand response measures, the results show that the power trading cost can be precisely controlled. This indicates that virtual power plants have great potential in promoting the efficient and sustainable development of the power market.