The virtual power plant contributes to the safe and stable operation of the power system by aggregating distributed resources on the distribution network side to make it an aggregator with a certain degree of control. In order to optimize the utilization efficiency of multiple energy sources within a virtual power plant cluster as much as possible, this paper establishes a dynamic model of virtual power plant cluster under the premise of ensuring that each virtual power plant within the cluster has the ability to regulate. Taking the balance of power balance index, power complementarity index and regulation capacity index as the optimization target, the virtual power plant resources are dynamically dispatched, and the nodes of multi-energy systems are aggregated to build a virtual power plant cluster that meets the demand of the main grid. The virtual power plant cluster division problem is transformed into a multi-objective optimization problem, and by constructing different energy cooperation and noncooperation game scenarios, the improved algorithm is used to solve the virtual power plant cluster synergy model, and analyze the economic benefits of the virtual power plants under different methods. The total benefits of percapacity allocation, traditional method, and improved particle swarm method are 97.688 million yuan, 10.507 million yuan, and 107.94 million yuan, respectively. The benefit in the virtual power plant wind, light, combustion, and storage multi-type energy fully cooperative game scenario is 105.07 million yuan, which is 7.382 million yuan more than the benefit in the scenario of fully uncooperative game for each type of energy. The model constructed in this paper can promote the optimization of energy utilization rate of virtual power plant and take into account the economy of optimal scheduling strategy.
