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Evaluation of Rail Potential Based on Power Distribution in DC Traction Power Systems

Author

Listed:
  • Guifu Du

    (School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China)

  • Dongliang Zhang

    (School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China)

  • Guoxin Li

    (School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China)

  • Chonglin Wang

    (School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China)

  • Jianhua Liu

    (School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China)

Abstract

Running rails used as a return conductor and ungrounded scheme have been widely adopted in DC traction power systems. Due to the longitudinal resistance of running rails and insulation resistance of rail-to-ground, there will be a potential rise between running rails and the ground when return current flows through the running rails, which is known as rail potential. At present, abnormal rise of rail potential exists widely in DC traction power systems. The present rail potential model still cannot simulate and explain the abnormal rail potential in the system. Based on the analysis of power distribution with multiple trains running in multiple sections, a dynamic simulation model of rail potential in the whole line is proposed. The dynamic distribution of rail potential and stray current in DC traction power systems when multiple trains run in multiple sections is analyzed, and the impact of traction current distribution on rail potential is evaluated. Simulation results show that the abnormal rise of rail potential during the dynamic operation of the system can be evaluated effectively.

Suggested Citation

  • Guifu Du & Dongliang Zhang & Guoxin Li & Chonglin Wang & Jianhua Liu, 2016. "Evaluation of Rail Potential Based on Power Distribution in DC Traction Power Systems," Energies, MDPI, vol. 9(9), pages 1-20, September.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:9:p:729-:d:77857
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    References listed on IDEAS

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    1. Huan Xia & Huaixin Chen & Zhongping Yang & Fei Lin & Bin Wang, 2015. "Optimal Energy Management, Location and Size for Stationary Energy Storage System in a Metro Line Based on Genetic Algorithm," Energies, MDPI, vol. 8(10), pages 1-23, October.
    2. Fei Lin & Shihui Liu & Zhihong Yang & Yingying Zhao & Zhongping Yang & Hu Sun, 2016. "Multi-Train Energy Saving for Maximum Usage of Regenerative Energy by Dwell Time Optimization in Urban Rail Transit Using Genetic Algorithm," Energies, MDPI, vol. 9(3), pages 1-21, March.
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    Cited by:

    1. Grzegorz Wieczorek & Krzysztof Bernacki & Zbigniew Rymarski & Wojciech Oliwa, 2021. "Gathering Energy of the Stray Currents in Electrified Railways Environment for Power Supply," Energies, MDPI, vol. 14(19), pages 1-19, September.
    2. Katarina Vranešić & Sahil Bhagat & Andrea Mariscotti & Robert Vail, 2023. "Measures and Prescriptions to Reduce Stray Current in the Design of New Track Corridors," Energies, MDPI, vol. 16(17), pages 1-25, August.
    3. Chengtao Wang & Wei Li & Yuqiao Wang & Shaoyi Xu & Kunpeng Li, 2019. "Evaluation Model for the Scope of DC Interference Generated by Stray Currents in Light Rail Systems," Energies, MDPI, vol. 12(4), pages 1-17, February.
    4. Guifu Du & Dongliang Zhang & Guoxin Li & Yihua Hu & Yang Liu & Chonglin Wang & Jianhua Liu, 2017. "Maximum Safety Regenerative Power Tracking for DC Traction Power Systems," Energies, MDPI, vol. 10(2), pages 1-19, February.
    5. Jan Szymenderski & Wojciech Machczyński & Krzysztof Budnik, 2019. "Modeling Effects of Stochastic Stray Currents from D.C. Traction on Corrosion Hazard of Buried Pipelines," Energies, MDPI, vol. 12(23), pages 1-24, November.

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