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Rail potential control with train diagram optimization in multitrain DC traction power system

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  • Chengqian Zhu
  • Guifu Du
  • Yawen Ding
  • Weiguo Huang
  • Jun Wang
  • Mingdi Fan
  • Zhongkui Zhu

Abstract

Currently, abnormally elevated rail potential exists in the DC traction power system, which greatly threatens the safe operation of the line. In order to realize the reflux safety, timetable optimization of multitrain based on improved Seeker Optimization Algorithm (SOA) is proposed to suppress the rail potential of the system. Firstly, the simulation model of the system is built and the calculation process of rail potential is proposed. Secondly, an optimization model based on maximum rail potential is formulated, where the dwell time is the decision variable and is adjusted to change the regenerative power distribution of the system. Finally, the improved SOA is used to handle the optimization model. Compared with the maximum rail potential before optimization, the simulation results demonstrate that the maximum rail potential is reduced by 55.5% with the proposed method, which greatly improves the reflux safety of the multi-train subway system.

Suggested Citation

  • Chengqian Zhu & Guifu Du & Yawen Ding & Weiguo Huang & Jun Wang & Mingdi Fan & Zhongkui Zhu, 2022. "Rail potential control with train diagram optimization in multitrain DC traction power system," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 10(4), pages 476-496, July.
    • Handle: RePEc:taf:tjrtxx:v:10:y:2022:i:4:p:476-496
    DOI: 10.1080/23248378.2021.1964391
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