In view of the phenomenon of low market enthusiasm caused by the traditional power grid electricity price monopoly model, this paper proposes an energy trading model of one leader with multi-followers based on dynamic pricing. The Stackelberg game Nash equilibrium solution between distribution network operators and virtual power plants is obtained by setting up multiple scenarios to analyze the energy trading volume between them in integrated energy system. During the game, the distribution network operator, as the leader, is responsible for summarizing the transaction electricity of the virtual power plant. Then the distribution network operator decides the transaction price by considering the price response behavior of the virtual power plant to maximize the economic benefits. Virtual power plants as followers, in order to minimize operating costs as the goal, according to the transaction price to determine the transaction electricity. At the same time, a solution method combining Kriging meta-model and genetic optimization algorithm is proposed to solve the equilibrium solution of both sides while simplifying the calculation. Finally, an example is given to prove that the proposed game model and optimization algorithm can not only improve the solving efficiency, but also improve the economic benefits of both parties.