基于改进NSGA-Ⅱ算法的电动汽车充电站选址方法OA

The strategic placement of electric vehicle charging stations is of utmost importance in the ad-vancement of electric vehicles.The unreasonable arrangement of charging stations could result in in-creased expenses of operators and diminished satisfaction of users.To tackle these challenges,a syntheti-cal model was constructed to quantify total operating cost and user satisfaction of charging stations.In this model,the total operator costs were segmented into land cost,construction cost,operating cost and gov-ernment subsidy.The user satisfaction was quantified by charging distance and waiting time.The im-proved non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ)was designed to address the multi-objec-tive optimization model.The solution solved the problem of minimizing the operating cost and maximizing the user satisfaction with the constraints of remaining power,charging distance,and the quantity of char-ging piles.In the end,Jiangbei was taken as a case study to simulate the location selection of electric ve-hicle charging stations,confirming the efficacy of the proposed approach.