Abstract
The multi-objective model of the electric vehicle and wind power in the load control is established, which stabilizes 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, as well as the genetic algorithm for nonlinear programming, this paper analyzes the influence of peak load difference on stabilizing the load fluctuation and improving the return of electric vehicle users. Finally, through the example analysis results show that the multi-objective model can be more optimized 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, and the results curve is presented.
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