Abstract: Based on the framework of energy saving and emission reduction,aiming at the randomness of wind power output,the autoregressive and moving average（ARMA）model is used to generate a large number of wind speed scenarios,and representative typical wind speeds are obtained based on scenario reduction technology. Furthermore,in view of the uncertainty of electric vehicles accessing the power grid,the cluster model of electric vehicles with random probability sampling is used,and the dynamic model of multiobjective power dispatching with wind-vehicle interaction is finally established. Also,this paper takes CPLEX as the solving tool,and the compromise dispatching results are solved by using fuzzy two-stage programming method. Through different scenarios,different scale of electric vehicles and other examples,the dispatching strategy and optimization results of wind power and electric vehicles connected to power grid are analyzed. The advantages of the proposed model and relevant dispatching strategies in improving the operation economy of power grid and reducing pollution gas emissions are verified.