For the demand response scheduling problems in an intelligent community containing multiple energy resources, the optimal model is firstly established concerning energy storage, photovoltaic and electric vehicles. The objective function is the minimum exchange quantity and total operation cost between the system and the grid. Then the multi?group collaborative purification genetic algorithm is used to obtain the optimization result. Finally,taking a smart community as an example, MATLAB tool is used to simulate the load model and verify its correctness and feasibility. It shows that the proposed strategy improves the PV consumption rate and reduces the operating cost.