基于Pareto多目标遗传算法的高峰时段多地铁列车节能优化  

Energy-saving Optimization of Multi Subway Trains at Peak Time Based on Pareto Multi-objective Genetic Algorithm

作　　者：孙飞 桂行东[1] 李婷 张永[1] 

机构地区：[1]南京理工大学自动化学院,南京210094

出　　处：《铁道标准设计》2017年第12期114-119,共6页Railway Standard Design

基　　金：国家重点研发计划项目(2017YFB 1201004);广州市科技计划项目(201604030061)

摘　　要：城市轨道交通列车在运行过程中会频繁地启动和制动,如何提高列车运行中电能的利用率、降低牵引能耗在城市轨道交通领域有着重要的意义。在高峰时间段运行时,由于客流量较大,单位时间发车数量较多,所以同一供电区间的相邻列车间重叠运行的时间较长,再生制动可利用能量很大。针对高峰时段多列车运行的特点,采用Pareto多目标遗传算法对高峰时段列车运行进行节能优化。通过合理优化列车在各站的停站时间来优化列车时刻表,最大效率地利用列车运行中再生制动能量。Urban rail transit trains are frequently started and braked during operation,and how to improve the utilization efficiency of electric energy in train operation is of great significance to reduce traction energy consumption. In peak time,due to big passenger flow and a large number of trains dispatched per hour,the overlap run between two adjacent trains takes a long time and big amount of available energy is generated by regenerativebraking. I view of the characteristics of multi-train operation in peak hour, multi-objective genetic algorithm is employed to optimize the energy-saving for train operation in peak hour. By optimizing the stopping time of trains in each station,the train schedule is optimized and the regenerative braking energy is utilized efficiently.

关 键 词：列车节能 多目标遗传算法 高峰时段 列车时刻表 

分 类 号：U231.92[交通运输工程—道路与铁道工程]