Large scale renewable energy and electric vehicles are connected to the micro grid. Due to the fluctuation of renewable energy output and the disorderly charging and discharging behavior of electric vehicles, the wind and light electricity are seriously abandoned in the micro grid, which also brings challenges to the economic dispatching of the micro grid. Based on the traditional peak-valley electricity price and combined with the power difference between renewable energy output and equivalent load, the economic dispatching strategy of grid - connected micro - grid containing electric vehicles is proposed. Firstly, the scheduling characteristics of micro grid are analyzed. Then, the scheduling priority of micro grid is analyzed in combination with renewable energy and load power level of micro grid. With micro network operation costminimum and maximum given photovoltaic, the purpose of building virtual of the objective function is minimum cost optimization model. Finally, the improved particle swarm algorithm is used to solve the case. The case is studied under three different pricing mechanisms of dynamic virtual price、traditional peak valley price and real -time electricity price micro network. The effectiveness of the proposed method is verified by comparing the photovoltaic utilization rate, load peak valley difference and operation cost of microgrid in one dispatching cycle under three pricing methods.