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The Energy-Efficient Operation Problem of a Freight Train Considering Long-Distance Steep Downhill Sections

Author

Listed:
  • Xuan Lin

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Qingyuan Wang

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Pengling Wang

    (Department of Transport and Planning, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands)

  • Pengfei Sun

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Xiaoyun Feng

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

Abstract

With the energy consumption rising in rail transport, the railway sector is showing increasing interest in the energy-efficient operation of freight trains. Freight trains require more complicated driving strategies than ordinary passenger trains do due to their heavy loads, especially in the long-distance steep downhill (LDSD) sections that are very common in freight rail lines in China. This paper studies the energy-efficient operation of a freight train considering LDSD sections. An optimal control model including regenerative and pneumatic braking is developed for the freight train. Then, when a train leaves/enters the LDSD section, we verify the uniqueness of control transitions and discuss the speed profile linkage between LDSD and its adjacent sections, which indicates that the periodic braking should be applied on LDSD sections for optimality. Additionally, given the same running time for the entire journey, our analysis shows that electrical braking-full braking strategy is more energy-efficient than coasting-full braking strategy on LDSD sections. Finally, a numerical algorithm for the optimal driving solution is proposed. The simulation results demonstrate that the driving strategies generated by the proposed algorithm performs better than those from fuzzy predictive control and field operation regarding energy saving.

Suggested Citation

  • Xuan Lin & Qingyuan Wang & Pengling Wang & Pengfei Sun & Xiaoyun Feng, 2017. "The Energy-Efficient Operation Problem of a Freight Train Considering Long-Distance Steep Downhill Sections," Energies, MDPI, vol. 10(6), pages 1-26, June.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:6:p:794-:d:101085
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    References listed on IDEAS

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    2. Oleksandr PSHINKO & Liudmyla URSULYAK & Serhii KOSTRYTSIA & Yevhen FEDOROV & Anzhela SHVETS, 2019. "The Influence Of The «Train-Track» System Parameters On The Maximum Longitudinal Forces' Level," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 14(4), pages 161-172, December.
    3. Franciszek Restel & Szymon Mateusz Haładyn, 2022. "The Railway Timetable Evaluation Method in Terms of Operational Robustness against Overloads of the Power Supply System," Energies, MDPI, vol. 15(17), pages 1-17, September.
    4. Zhuang Xiao & Pengfei Sun & Qingyuan Wang & Yuqing Zhu & Xiaoyun Feng, 2018. "Integrated Optimization of Speed Profiles and Power Split for a Tram with Hybrid Energy Storage Systems on a Signalized Route," Energies, MDPI, vol. 11(3), pages 1-21, February.
    5. Artur Kierzkowski & Szymon Haładyn, 2022. "Method for Reconfiguring Train Schedules Taking into Account the Global Reduction of Railway Energy Consumption," Energies, MDPI, vol. 15(5), pages 1-18, March.

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