The increase in the number of electric vehicles will significantly affect the power load distribution of community microgrids, generate dynamic and unpredictable power demand, and bring new challenges and constraints to community microgrids. Therefore, efficient energy management of electric vehicle charging and discharging becomes a challenging task. In this paper, the V2G technology and its application are introduced first, and then the optimization model aiming at the minimum cost of system electricity is established. Because after the electric vehicle is connected to the system, it can carry out cooperative optimization scheduling with the energy storage system under the constraint conditions of the user?s required energy state, load demand and charge and discharge power limitation. Therefore, this study proposed an energy management algorithm based on V2G technology and ESS collaborative optimization, and analyzed the proposed optimization algorithm under different penetration rates of electric vehicles.