Charging station siting method based on variable neighborhood genetic algorithm

In recent years, the scale of the electric vehicle industry and social ownership are gradually growing, in the case that the charging facilities are not yet able to meet the demand for electric vehicle charging.Aiming at the situation described above, the research of charging station siting supported by variable neighborhood genetic algorithm is proposed.Based on the principle of charging station siting, the objective function and constraints are set, and the design of charging station siting model is realized.It is found that the traditional genetic algorithm, which has the problem of poor search ability, adopts the variable neighborhood genetic algorithm to solve the model.Calculated, this paper's algorithm in the charging demand peak period scenario, to determine the optimal charging station site selection there are four, the two objective function value of 0.94, 0.98, both in the charging peak period or the low peak period, this paper's method compared to the traditional genetic algorithm has a higher superiority.