With the continuous advancement of the "double carbon" work and the growing maturity of the electricity market, new energy grid integration has become an important development trend to build a new energy system in China. However, due to the significant differences in marginal power generation costs and output characteristics between new energy and traditional energy, the new energy grid connection has brought a huge impact on the operation of the power grid. In order to solve the series of problems, firstly the concept of equivalent load is introduced from the perspective of demand response. Based on the support vector regression?particle swarm optimization (SVR?PSO) algorithm, a demand response model that takes into account new energy consumption and power generation costs is constructed to optimize the time?of?use electricity price and reduce the power purchase cost on the demand side. Secondly, based on the time?of?use electricity price, a VPP double?layer optimization dispatch model considering new energy consumption is proposed and corresponding operation strategies are formulated to build a bridge of "source?load interaction" between the distribution network and the demand side. Finally, the impact of time?of?use electricity price before and after equivalent load optimization on the economics of virtual power plants is discussed, which provides a reference for the formulation of time?of?use electricity price.