The multi-objective model of the electric vehicle and wind power in the load control, stabilize the ?peak and valley difference of load and electric vehicle charging and discharging cost, considering the electric vehicle battery available capacity and charge discharge power constraints, and considering the basic genetic algorithm and genetic algorithm for nonlinear programming of the two different algorithms, to analyze considering the influence of peak load difference to stabilize of the load fluctuation and improve the electric vehicle users return, and the generated results are compared respectively. Finally, through the example analysis results show that through the reasonable price in the electric vehicle charging and discharging and genetic algorithm for nonlinear programming and considering the peak and valley load difference can make the multi-objective model more optimization, and presents a genetic algorithm for solving multi-objective nonlinear model results curve.