NEW METHOD FOR ENERGY-EFFICIENT TRAIN OPERATION ON COMMUTER RAIL NETWORKS

被引：0
|
作者：
Haramina, Hrvoje [1 ]
Mandic, Milivoj [2 ]
Niksic, Mladen [1 ]
机构：
[1] Univ Zagreb, Fac Transport & Traff Sci, Dept Railway Transport & Traff, Zagreb 10000, Croatia
[2] Univ Zagreb, Fac Elect Engn & Comp, Dept Power Syst, Zagreb 10000, Croatia
来源：
TEHNICKI VJESNIK-TECHNICAL GAZETTE | 2012年 / 19卷 / 04期
关键词：
decision support system; energy-efficient train operation; commuter rail traffic;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper presents a new optimisation method for energy-efficient operation of electric commuter trains. This method assumes the application of centralised train and traffic control with online timetable rescheduling. The method was tested on the interstation distance between Maksimir and Zagreb GK on the Dugo Selo - Zagreb GK railway line. For all potential running times of commuter trains, by usage of SQP-method for the calculation of traction power supply, different running regimes were simulated and best regimes regarding energy consumption were selected. Each regime implies a running time which can deviate up to 20 seconds from the nominal one given by the timetable and this represents a completely new way of defining the energy-optimal running regimes. The results of the simulation show that the new method for energy-optimal commuter trains running profile calculation can save up to 10 % of consumed energy for traction supply of electric commuter passenger trains.
引用
收藏
页码：801 / 806
页数：6
相关论文
共 50 条
  • [21] Two-Stage Optimization Method of Train Energy-Efficient Operation Based on Dynamic Programming
    Gao H.
    Zhang Y.
    Guo J.
    Li K.
    Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University, 2020, 55 (05): : 946 - 954
  • [22] Assessment of the implications of energy-efficient technologies on the environmental sustainability of rail operation
    Sharma, Sanjeev
    Kandpal, Vinay
    Choudhury, Tanupriya
    Gonzalez, Ernesto D. R. Santibanez
    Agarwal, Naveen
    AIMS ENVIRONMENTAL SCIENCE, 2023, 10 (05) : 709 - 731
  • [23] A Two-Step Method for Energy-Efficient Train Operation, Timetabling, and Onboard Energy Storage Device Management
    Wu, Chaoxian
    Lu, Shaofeng
    Xue, Fei
    Jiang, Lin
    Chen, Minwu
    Yang, Jie
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2021, 7 (03) : 1822 - 1833
  • [24] Optimization of Train Energy-Efficient Operation Using Simulated Annealing Algorithm
    Xie, Ting
    Wang, Shuyi
    Zhao, Xia
    Zhang, Qiongyan
    INTELLIGENT COMPUTING FOR SUSTAINABLE ENERGY AND ENVIRONMENT, 2013, 355 : 351 - 359
  • [25] Energy-Efficient Train Tracking Operation Based on Multiple Optimization Models
    Gu, Qing
    Tang, Tao
    Ma, Fei
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 17 (03) : 882 - 892
  • [26] Optimisation of train energy-efficient operation for mass rapid transit systems
    Ke, B. -R.
    Lin, C. -L.
    Yang, C. -C.
    IET INTELLIGENT TRANSPORT SYSTEMS, 2012, 6 (01) : 58 - 66
  • [27] Existence of an optimal strategy for stochastic train energy-efficient operation problem
    Xiang Li
    Ziyou Gao
    Wenzhe Sun
    Soft Computing, 2013, 17 : 651 - 657
  • [28] Energy-efficient Operation of Single Train Based on the Control Strategy of ATO
    Liu, Shuqi
    Cao, Fang
    Xun, Jing
    Wang, Yihui
    2015 IEEE 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, : 2580 - 2586
  • [29] Deep Reinforcement Learning for Energy-efficient Train Operation of Automatic Driving
    Meng, Xianglin
    Wang, He
    Lin, Mu
    Zhou, Yonghua
    2020 IEEE 8TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), 2020, : 123 - 126
  • [30] Energy-Efficient Train Operation Using Nature-Inspired Algorithms
    Keskin, Kemal
    Karamancioglu, Abdurrahman
    JOURNAL OF ADVANCED TRANSPORTATION, 2017, : 1 - 12
12345