面向列车节能控制的时刻表优化
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  • 英文篇名:Study of Timetable Optimization Based on Train Energy Saving Control
  • 作者:张惠茹 ; 贾利民 ; 王莉 ; 杨杰
  • 英文作者:ZHANG Huiru;JIA Limin;WANG Li;YANG Jie;School of Traffic and Transportation,Beijng Jiaotong University;Beijing Engineering Research Center of Urban Traffic Information Intelligent Sensing and Service Technologies;State Key Laboratory of Rail Traffic Control and Safety,Beijing Jiaotong University;National Engineering Laboratory for System Safety and Operation Assurance of Urban Rail Transit;
  • 关键词:铁路运输 ; 时刻表优化 ; 节能时刻表 ; 运行控制
  • 英文关键词:railway transportation;;the timetable optimization;;energy-saving timetable;;operation control
  • 中文刊名:TDXB
  • 英文刊名:Journal of the China Railway Society
  • 机构:北京交通大学交通运输学院;北京市城市交通信息智能感知与服务工程技术研究中心;北京交通大学轨道交通控制与安全国家重点实验室;城市轨道交通系统安全与运维保障国家工程实验室;
  • 出版日期:2019-02-15
  • 出版单位:铁道学报
  • 年:2019
  • 期:v.41;No.256
  • 基金:十三五”国家重点研发计划(2016YFB1200401);; 国家自然科学基金(71701010)
  • 语种:中文;
  • 页:TDXB201902002
  • 页数:8
  • CN:02
  • ISSN:11-2104/U
  • 分类号:12-19
摘要
列车牵引运行能耗是铁路运输中的主要能源消耗,直接由列车运行操作决定。时刻表是列车运行操作的依据,与运行控制密切相关。结合时刻表优化与节能控制的相关因素,以列车能耗值和列车时刻表稳定性综合最优为目标,在满足列车安全追踪间隔等约束的条件下,制定面向列车节能控制的时刻表优化模型,针对模型特点设计一种采用迭代寻优的富余时间分配求解算法,实现时刻表的优化过程。实验结果表明,该算法在保证列车时刻表稳定性在一定范围的前提下,通过调整列车在中间车站的到发时间,可以减少列车在站间运行的能耗,节约能耗占总能耗的4.04%。
        Train traction energy consumption is the main energy consumption in railway transportation,which is directly decided by the train operation.The time table is the basis of the train operation,which is closely related with operation control.Combined with the relevant factors between the timetable optimization and the energy saving control,the paper took the train energy consumption value and the stability of train timetable as the comprehensive optimization goal.Under the constrain conditions of satisfying the train safety tracking interval,a timetable optimization model for train energy-saving control was formulated.According to the characteristics of the model,a new algorithm using iterative optimization for solving the optimal time distribution was designed,which realized the optimization process of the timetable.The reduced energy consumption accords for 4.04% of the total energy consumption after adjusting the arrival and departure time of the train at the intermediate station under the condition of ensuring the stability of the train timetable within a certain range.
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