Abstract: With the help of virtual power plant（VPP）platform,the bilateral coordination between multi-complementary power supply side and load side demand response is considered,and a multiobjective optimization model for source-load coordination based on VPP is established,which adds environmental objectives on the basis of considering the economic and renewable energy resources accommodation of VPP. Aiming at the multiobjective optimization problem,firstly,it is transformed into a series of single-objective optimization problems according to the normal boundary intersection（NBI）. Then the adaptive immune genetic algorithm is used to solve such single-objective optimization problems to obtain a series of Pareto optimal solutions with uniform distribution. Finally,the eclectic optimal solution is obtained based on the hierarchy-entropy combination weighting method. Taking a regional VPP as an example,the simulation results verify that the proposed method can balance the economic,environmental and renewable energy resources accommodation of VPP. Moreover,it shows that VPP with coordinated source-load operation can effectively improve the level of renewable energy resources accommodation and reduce system operation costs and environmental pollution by optimal scheduling.