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Energy-Efficient Optimization Method of Urban Rail Train Based on Following Consistency

Author

Listed:
  • Ruxun Xu

    (Mechatronics T&R Institute, Lanzhou Jiaotong University, Lanzhou 730070, China
    Gansu Logistics and Transportation Equipment Information Technology Research Center, Lanzhou 730070, China
    Gansu Logistics and Transportation Equipment Industry Technical Center, Lanzhou 730070, China
    School of Mechanical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Jianjun Meng

    (Mechatronics T&R Institute, Lanzhou Jiaotong University, Lanzhou 730070, China
    Gansu Logistics and Transportation Equipment Information Technology Research Center, Lanzhou 730070, China
    Gansu Logistics and Transportation Equipment Industry Technical Center, Lanzhou 730070, China)

  • Decang Li

    (Mechatronics T&R Institute, Lanzhou Jiaotong University, Lanzhou 730070, China
    Gansu Logistics and Transportation Equipment Information Technology Research Center, Lanzhou 730070, China
    Gansu Logistics and Transportation Equipment Industry Technical Center, Lanzhou 730070, China)

  • Xiaoqiang Chen

    (Mechatronics T&R Institute, Lanzhou Jiaotong University, Lanzhou 730070, China
    Gansu Logistics and Transportation Equipment Information Technology Research Center, Lanzhou 730070, China
    Gansu Logistics and Transportation Equipment Industry Technical Center, Lanzhou 730070, China
    School of Mechanical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)

Abstract

Because of the short distance between stations in urban rail transit, frequent braking of urban rail trains during operation will generate a large amount of regenerative braking energy. Urban rail trains can reduce their actual traction energy consumption using regenerative braking energy. Therefore, an energy-efficient optimization method for urban rail trains is proposed. By taking the punctuality of trains as the premise, the weighted acceleration of trains is taken as the synergetic variable, the synergetic coefficient is introduced to construct the following consistency model, and its convergence is proved. By analyzing the influencing factors of the following consistency coordination time, an adaptive parameter adjustment strategy is designed to solve the latest secondary traction time and the corresponding maximum speed of the primary traction. In order to save communication resources, the event trigger function is used to construct trigger conditions, and the consistency algorithm is used to update the cooperative controller. The simulation results show that the weighted acceleration of the follower train achieves the following consistency on the premise of ensuring punctuality, and the actual traction energy consumption of the follower train is reduced by 5.73%. The proposed method provides a new strategy for the energy-efficient operation of urban rail trains.

Suggested Citation

  • Ruxun Xu & Jianjun Meng & Decang Li & Xiaoqiang Chen, 2023. "Energy-Efficient Optimization Method of Urban Rail Train Based on Following Consistency," Energies, MDPI, vol. 16(4), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:2050-:d:1073665
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    References listed on IDEAS

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    1. Zhang, Lang & He, Deqiang & He, Yan & Liu, Bin & Chen, Yanjun & Shan, Sheng, 2022. "Real-time energy saving optimization method for urban rail transit train timetable under delay condition," Energy, Elsevier, vol. 258(C).
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