基于改进遗传算法的城轨列车节能运行模型  

Energy-saving operation model for urban rail train based on improved genetic algorithm

作　　者：刘建威[1,2] 常柱刚 邓海波 于鹏 LIU Jianwei;CHANG Zhugang;DENG Haibo;YU Peng(School of Civil Engineering,Central South University,Changsha 410075,China;Changsha Planning&Design Institute Co.,Ltd,Changsha 410007,China)

机构地区：[1]中南大学土木工程学院,湖南长沙410075 [2]长沙市规划设计院有限责任公司,湖南长沙410007

出　　处：《铁道科学与工程学报》2019年第11期2881-2888,共8页Journal of Railway Science and Engineering

基　　金：国家自然科学基金资助项目(50708117)

摘　　要：为有效减少城轨列车牵引能耗,以列车动力学理论为基础,以列车运行时分为约束条件,利用改进后的遗传算法,建立单列车节能运行控制模型;通过对城轨列车进行合理分组,将再生制动能量利用转化为制动列车和组内其他加速列车的时间重叠问题,通过改进遗传算法对组内列车的工况序列进行搜索寻优,建立多列车节能运行调度方案;以某14站地铁线数据为例,采用MATLAB仿真求解100列车的运行控制方案。仿真结果表明:该模型可在复杂线路条件下使得城轨列车准时准点停站,在保证不同班次列车间运行互不干扰的同时相互利用其再生制动能量,被利用的再生能量可使总能耗节约17.06%。To reduce the traction energy consumption of urban rail train,the improved genetic algorithm was used for the energy-saving operation control model of single train based on the theory of train dynamics and the constraint condition of train schedule.By grouping the trains reasonably,the regenerative braking energy utilization was transformed into the time overlap between the braking train and other accelerated trains in the group.The improved genetic algorithm was used to search the optimal operating conditions of trains in the group and the energy-saving operation scheduling plan of multiple trains was established.Taking the data of a 14-station subway line as an example,the operation control scheme of 100 train was solved by MATLAB simulation.Simulation results indicate this model can make the urban rail train stop on time in the complex line condition;the schedules of different trains will not be obstructed each other and meanwhile the regenerative brake energy can be utilized interavailability;the regenerative utilized energy can save 17.06%total energy consumption.

关 键 词：城市轨道交通 定时限速约束 再生制动 改进遗传算法 退回重算 列车分组 

分 类 号：U268.6[机械工程—车辆工程] U268.43[交通运输工程—载运工具运用工程]