Abstract: In this paper, we focus on the game process of virtual power plants participating in the electricity spot market competition, aiming to optimize purchasing and selling strategies that can maximize the total revenue of these virtual power plants. Based on the current market transaction volume, an optimized scheduling strategy is designed for virtual power plants to participate in the real-time market with the objective of minimizing the deviation assessment cost. The virtual power plant aggregation method is validated through a numerical example, indicating its ability to enhance flexibility in electricity purchasing and selling decisions by scheduling distributed energy resources. This not only improve their own operational profits for the companies but also provide technical support for resource integration.