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城市轨道交通列车定时节能优化方法研究
引用本文:李旭阳,田铭兴,孙立军,潘存磊.城市轨道交通列车定时节能优化方法研究[J].铁道标准设计通讯,2020(4):61-66.
作者姓名:李旭阳  田铭兴  孙立军  潘存磊
作者单位:兰州交通大学自动化与电气工程学院;甘肃省轨道交通电气自动化工程实验室;光电技术与智能控制教育部重点实验室
基金项目:国家自然科学基金项目(51367010);甘肃省科技计划项目资助(17JR5RA083);甘肃省自然科学基金项目(1610RJZA042);兰州交通大学优秀科研团队项目(201701)。
摘    要:针对城市轨道交通启停频繁的运行特点,从降低牵引能耗的角度出发,应用"四阶段"最优运行策略,得到各个阶段牵引能耗的计算公式。以牵引距离为自变量,将运行距离和线路条件等作为约束条件,设计了单列车站间牵引能耗计算方法。在此基础上,以牵引能耗值和运行时间误差的权重和作为目标函数,采用遗传算法进行优化,得到最优的牵引距离,从而得到各个阶段的运行距离,达到定时节能的目的。通过限制最大加速度值达到同时降低牵引能耗值和提高乘客舒适度的目的。通过算例在MATLAB软件中进行仿真分析,与实测值相比,定时节能优化情况下可节能22.45%;兼顾舒适度情况下,可节能21.99%。从仿真图可以看出,优化结果减少了工况转换次数,曲线更平滑。

关 键 词:城市轨道交通  列车  定时  节能优化  牵引能耗  舒适度  遗传算法  MATLAB

Research on Energy Saving and Timing Optimization Method of Urban Rail Transit Trains
LI Xuyang,TIAN Mingxing,SUN Lijun,PAN Cunlei.Research on Energy Saving and Timing Optimization Method of Urban Rail Transit Trains[J].Railway Standard Design,2020(4):61-66.
Authors:LI Xuyang  TIAN Mingxing  SUN Lijun  PAN Cunlei
Institution:(School of Automation and Electrical Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China;Rail Transit Electrical Automation Engineering Laboratory of Gansu Province,Lanzhou 730070,China;Key Laboratory of Opto-Technology and Intelligent Control,Ministry of Education,Lanzhou 730070,China)
Abstract:Firstly,according to the frequent start-stop operation characteristics of urban rail transit and from the point of view of reducing traction energy consumption,the"four-stage"optimal operation strategy is applied,and the calculation formulas of traction energy consumption in each stage are obtained.Secondly,taking traction distance as independent variable,and operation distance and line conditions as constraints,a calculation method of traction energy consumption between stations by a single train is designed.On this basis,the weight sum of traction energy consumption value and running time error is taken as an objective function,and the genetic algorithm is used to optimize the traction distance,so that the running distance of each stage can be obtained and the purpose of timing and energy saving achieved.Finally,the maximum acceleration is limited to reduce traction energy consumption and improve the comfort.The simulation analysis is carried out in MATLAB software through examples.Compared with the measured value,the energy saving can be 22.45%by optimal timing and 21.99%under the comfort condition.Simulation diagram shows that the optimization results reduce the number of condition conversion,and the curve is smoother.
Keywords:urban rail traffic  train  timing  energy saving optimization  traction energy consumption  comfort  genetic algorithms  MATLAB
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