In order to cope with the challenges brought by the large-scale electric vehicle access to the grid under the Vehicle-to-Grid (V2G) mode, and aiming at the consideration of the charging and discharging requirements of large-scale electric vehicles using the existing electric vehicle dispatching strategy is insufficient, an orderly charging strategy for micro-grid electric vehicles is introduced. The scheduling strategy uses the fuzzy control algorithm to optimize the charging plan according to the current micro-grid load status, electric vehicle charging demand and other real-time data, to meet the electric vehicle charging demand and achieve peak-load shifting of the power grid. 600 electric vehicles in a power distribution area are charged using the proposed dispatch strategy. After that, the strategy is compared and analyzed with the traditional instant charging strategy. The simulation results show that this strategy can effectively avoid the problem of load spike caused by a large number of electric vehicles connected to the power grid and provide services for the power grid peak-load shifting to achieve a win-win situation for users and the power grid. This work is supported by National Key Research and Development Program of China “Smart Grid Technology and Equipment” “Key Technologies of Distributed PV Multi-terminal Connected to DC Distribution System and Equipment” (No. 2018YFB0904100).