摘要
充电站的合理布局对于减少里程焦虑,提高出行舒适度及电动汽车普及起到了关键作用。通过建立双目标双层规划模型求解电动汽车最佳选址问题。上层模型考虑决策者的目标,为系统最优模型,以最小化系统旅行时间和温室气体排放为优化目标。下层模型考虑用户的目标,为用户均衡模型,考虑带里程约束的多车型混合网络交通分配问题。上层模型采用NSGA-II算法求解,下层模型采用Frank-Wolfe算法求解。最后以"Nguyen-Dupuis网络"为例进行研究,结果表明电动汽车续航里程对充电站最佳选址有很大影响,论证了上述模型和算法的有效性以及在实践中的可行性。
Reasonable charging station location problem plays a key role in reducing users’ range anxiety, improving travel comfort and the popularization of electric vehicles. This paper solves the problem of optimal location of electric vehicles by establishing a dual-objective and bi-level programming model. The upper-level program considers the decision maker’s goal for system optimization to minimize the total system travel time and greenhouse emissions;the lower-level program considers the user’s goal for user equilibrium, considering the mixed-vehicular network traffic assignment with the electric vehicle’s driving range. The upper model was solved by using the NSGA-II algorithm and the lower one was solved by using Frank-Wolfe algorithm. Finally, the "Nguyen-Dupuis network" was taken as an example. The results show that the vehicle’s driving range has a great influence on the optimal location of the charging station, which demonstrates the validity of the model and algorithm and the feasibility in practice.
作者
冯春
叶露
FENG Chun;YE Lu(School of Transportation and Logistics, Southwest Jiaotong University, Chengdu Sichuan 610031, China)
出处
《计算机仿真》
北大核心
2019年第8期139-144,共6页
Computer Simulation
关键词
交通工程
选址模型
用户均衡
电动汽车
多目标优化
Traffic Engineering
Station location model
User equilibrium
Electric vehicle
Multi-objective optimization
