Research on virtual power plant modeling and optimal dispatch based on master-slave game model

In the context of the new power system, virtual power plants serve as a key carrier for aggregating distributed resources, and their internal interest coordination mechanisms directly affect the overall operating efficiency. An optimal scheduling model based on the Stackelberg master-slave game is constructed, and the differential evolution algorithm is used in conjunction with quadratic programming to solve the equilibrium solution of the model. The calculation example results show that compared with the independent operation mode, participating in aggregation management can improve the benefits of prosumers. After configuring energy storage, the benefits of prosumers are further improved, verifying the effectiveness of virtual power plants in taking into account the interests of multiple parties and optimizing resource allocation.