基于遗传优化算法的城市轨道交通多列车运行节能计算方法  

Calculation of Energy Saving in Multi-vehicle Operation Based on Genetic Optimization Algorithm

作　　者：周翔翔 刘鑫荣 张永[1] 李海玉 ZHOU Xiangxiang;LIU Xinrong;ZHANG Yong;LI Haiyu(School of Automation,Nanjing University of Science and Technology,210094,Nanjing,China)

机构地区：[1]南京理工大学自动化学院,南京∥硕士研究生210094 [2]广州地铁国家工程实验室,广州510330

出　　处：《城市轨道交通研究》2018年第12期67-70,共4页Urban Mass Transit

基　　金：国家重点研发计划项目(2016YFB1200402);广州市科技计划项目(2016201604030061)

摘　　要：针对地铁列车多列车节能问题,提出一种基于遗传优化算法的多列车运行节能计算方法。分析多列车运行过程中制动能量传递使用过程;建立以能耗最少、旅行时间准点为目标,以全天列车运行对数、高/低峰行车对数为约束的多列车运行节能模型;采用遗传算法获得各站最优的停站时间和发车间隔序列,并计算出全线能耗、列车能耗和线路损耗。同时,以我国某地铁线路4个区间组成的短线进行多列车节能仿真,优化得到各站的停站时间和发车间隔时间。Aiming at the energy saving problems of multi-vehicle metro train,a calculation method of multi-vehicle operation energy saving is presented based on genetic algorithm.Firstly,the process of braking energy transfer in multi-train operation is analyzed;secondly,the least energy consumption and travel time are taken as the target,with numbers of the all-day train and the high/low peak traffic as the constraint,a multi-vehicle energy saving model is established;thirdly,the genetic algorithm is used to obtain the optimal stopping time and starting interval,the total energy consumption,train energy consumption and line loss are calculated.Finally,the multi-vehicle energy saving is simulated by using the short line consisting of four sections on a Line in Beijing,the stopping time and the starting interval at each station are optimized.

关 键 词：城市轨道交通 再生制动能量 多列车运行节能 遗传优化算法 

分 类 号：TK018[动力工程及工程热物理] U292.4[交通运输工程—交通运输规划与管理]