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基于粒子群算法的城轨列车节能驾驶优化模型

黄友能 宫少丰 曹源 陈磊

黄友能, 宫少丰, 曹源, 陈磊. 基于粒子群算法的城轨列车节能驾驶优化模型[J]. 交通运输工程学报, 2016, 16(2): 118-124. doi: 10.19818/j.cnki.1671-1637.2016.02.014
引用本文: 黄友能, 宫少丰, 曹源, 陈磊. 基于粒子群算法的城轨列车节能驾驶优化模型[J]. 交通运输工程学报, 2016, 16(2): 118-124. doi: 10.19818/j.cnki.1671-1637.2016.02.014
HUANG You-neng, GONG Shao-feng, CAO Yuan, CHEN Lei. Optimization model of energy-efficient driving for train in urban rail transit based on particle swarm algorithm[J]. Journal of Traffic and Transportation Engineering, 2016, 16(2): 118-124. doi: 10.19818/j.cnki.1671-1637.2016.02.014
Citation: HUANG You-neng, GONG Shao-feng, CAO Yuan, CHEN Lei. Optimization model of energy-efficient driving for train in urban rail transit based on particle swarm algorithm[J]. Journal of Traffic and Transportation Engineering, 2016, 16(2): 118-124. doi: 10.19818/j.cnki.1671-1637.2016.02.014

基于粒子群算法的城轨列车节能驾驶优化模型

doi: 10.19818/j.cnki.1671-1637.2016.02.014
基金项目: 

北京市科技计划项目 D151100005815001

中央高校基本科研业务费专项资金项目 2015JBM013

中国神华能源股份有限公司科技创新项目 20140269

详细信息
    作者简介:

    黄友能(1974-), 男, 湖北天门人, 北京交通大学副教授, 工学博士, 从事列车运行控制和节能优化研究

  • 中图分类号: U284.48

Optimization model of energy-efficient driving for train in urban rail transit based on particle swarm algorithm

More Information
    Author Bio:

    HUANG You-neng(1974-), male, associate professor, PhD, +86-10-51685195, ynhuang@bjtu.edu.cn

  • 摘要: 为了降低城市轨道交通中列车在站间运行的能耗, 研究了列车的站间节能驾驶策略, 在考虑线路限速和坡度的情况下, 建立了时间约束下的列车节能优化模型, 采用粒子群算法优化目标速度序列得出了列车节能驾驶策略。节能驾驶优化方法通过2个阶段来实现, 第1阶段在站间运行时间不变的情况下, 采用粒子群算法优化了列车在站间的节能驾驶策略, 得到了运行时间和能耗的关系, 第2阶段在多站间总运行时间不变的前提下, 将运行时间进行重新分配, 得到了列车在全线运行的节能驾驶策略。以北京地铁亦庄线实际线路数据和车辆参数为基础, 对优化方法进行仿真验证。仿真结果表明: 经过第1阶段的优化, 列车在万源街-荣京东街的单站间运行能耗降低了6.15%, 经过第2阶段的优化, 列车在多站间总运行能耗降低了14.77%。可见, 优化模型可以有效降低列车的运行能耗, 为列车时刻表的编制提供依据。

     

  • 图  1  站间节能驾驶策略优化流程

    Figure  1.  Optimization flow of interstation energy-efficient driving strategy

    图  2  预留时间分配

    Figure  2.  Distribution of reserving time

    图  3  预留时间分配流程

    Figure  3.  Distribution flow of reserving time

    图  4  北京地铁亦庄线

    Figure  4.  Yizhuang Line of Beijing Subway

    图  5  亦庄线限速和坡度曲线

    Figure  5.  Curves of speed limit and gradient of Yizhuang Line

    图  6  万源街-荣京东街限速与坡度曲线

    Figure  6.  Curves of speed limit and gradient of Wanyuan Street-Rongjingdong Street

    图  7  适应度函数计算结果

    Figure  7.  Calculation result of fitness function

    图  8  列车最优驾驶策略

    Figure  8.  Optimal driving strategy of train

    图  9  计划时刻表下优化前后运行能耗对比

    Figure  9.  Comparison of energy consumptions before and after optimization under scheduled timetable

    图  10  万源街-荣京东街能耗拟合曲线

    Figure  10.  Fitting curve of energy consumption of Wanyuan Street-Rongjingdong Street

    图  11  优化前后站间运行时间对比

    Figure  11.  Comparison of interstation operation times before and after optimization

    图  12  优化前后站间运行能耗对比

    Figure  12.  Comparison of interstation energy consumptions before and after optimization

    表  1  亦庄线计划运行时间

    Table  1.   Scheduled operation times of Yizhuang Line

    下载: 导出CSV

    表  2  站间驾驶策略优化结果

    Table  2.   Optimization results of interstation driving strategy

    下载: 导出CSV

    表  3  站间最小运行时间

    Table  3.   Minimum operation times of interstations

    下载: 导出CSV
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出版历程
  • 收稿日期:  2015-11-21
  • 刊出日期:  2016-04-25

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