Research on Joint Optimization of Timetable Rescheduling and Train Operation for Energy Saving Urban Rails

被引:0
|
作者
Zhang, Yunjia [1 ]
Dai, Xuewu [2 ]
Cui, Dongliang [1 ]
机构
[1] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China
[2] Northumbria Univ, Dept Math Phys & Elect Engn, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England
基金
中国国家自然科学基金;
关键词
Way-side energy storage systems; net zero urban rail transportation; regenerative braking energy;
D O I
10.1109/ITSC57777.2023.10422059
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Way-side energy storage systems(WESS) have been proposed as an innovative and sustainable approach to net zero urban rail transportation and the timetable rescheduling plays an critical role in optimize and balance the utilization of energy from regenerative braking trains, the operation cost and passenger delays. This paper studies how to reduce the size of WESS by improving the receptivity of regenerative braking energy through the optimization of timetable and speed profile of multiple trains. In particular, this paper studies the energy efficiency in the scenario of timetable rescheduling to recover the timetable from delays, and minimizing passenger delays. Two models are developed to represent the passenger flow and the regenerative energy reuse in multi-train operation with WESS, respectively. Furthermore, three optimization objectives are proposed to reduce the operating cost of trains and passenger delays, which include minimizing the energy imported from power supply grid, minimizing the energy stored by WESS, and minimizing passenger delays. The results show that the energy imported from grid is reduced by 13.14%, and the receptivity of regenerative energy is reduced by 2.9% while the delay is reduced. The proposed method not only reduces passenger delays, but also makes the accelerating and braking trains match better.
引用
收藏
页码:2357 / 2362
页数:6
相关论文
共 50 条
  • [1] Collaborative optimization of rescue operation and timetable rescheduling under metro train failure
    Zhu, Qiaozhen
    Bai, Yun
    Yang, Lingling
    Chen, Yao
    Yan, Dongyang
    [J]. TRANSPORTMETRICA B-TRANSPORT DYNAMICS, 2023, 11 (01)
  • [2] Study of Timetable Optimization Based on Train Energy Saving Control
    Zhang H.
    Jia L.
    Wang L.
    Yang J.
    [J]. Tiedao Xuebao/Journal of the China Railway Society, 2019, 41 (02): : 8 - 15
  • [3] Estimating Energy-saving Capability of Urban Rail Timetable Using Optimized Train Operation Strategy
    Liu, Jiang
    Xiao, Si-yu
    Zhang, Jiao
    Xie, Hao
    [J]. 2ND INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND OPTIMIZATION TECHNOLOGIES AND APPLICATIONS (MSOTA 2018), 2018, : 614 - 619
  • [4] Train Timetable Optimization Research Based on PSO Energy-Efficient Operation Strategy
    Ren, Xiaoyu
    Huang, Youneng
    Zhang, Miao
    [J]. 2014 INTERNATIONAL CONFERENCE ON INFORMATIVE AND CYBERNETICS FOR COMPUTATIONAL SOCIAL SYSTEMS (ICCSS), 2014, : 134 - 138
  • [5] Study on Energy-Saving Optimization of Urban Rail Transit Train Timetable under Regenerative Braking
    Zheng, Yajing
    Ma, Zihan
    Liu, Naiyu
    Jin, Wenzhou
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [6] Optimization of train schedule for urban rail considering operation energy-saving and train circulation planning
    Zhou W.
    Huang Y.
    Deng L.
    [J]. Journal of Railway Science and Engineering, 2023, 20 (02) : 473 - 482
  • [7] Energy-Saving Metro Train Timetable Rescheduling Model Considering ATO Profiles and Dynamic Passenger Flow
    Hou, Zhuopu
    Dong, Hairong
    Gao, Shigen
    Nicholson, Gemma
    Chen, Lei
    Roberts, Clive
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (07) : 2774 - 2785
  • [8] Last-Train Timetable Optimization and Rescheduling Considering Transfer Demand
    Xu, Wenkai
    Xie, Binglei
    Zhang, Xi
    Ning, Liqiao
    [J]. CICTP 2020: ADVANCED TRANSPORTATION TECHNOLOGIES AND DEVELOPMENT-ENHANCING CONNECTIONS, 2020, : 1928 - 1938
  • [9] Metro timetable rescheduling optimization method in case of failure train rescue
    Wang Z.
    Zhang X.
    Chen S.
    Jian M.
    Chen Z.
    [J]. Journal of Railway Science and Engineering, 2023, 20 (11) : 4085 - 4095
  • [10] Real-time energy saving optimization method for urban rail transit train timetable under delay condition
    Zhang, Lang
    He, Deqiang
    He, Yan
    Liu, Bin
    Chen, Yanjun
    Shan, Sheng
    [J]. ENERGY, 2022, 258