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A Novel Ground Fault Identification Method for 2 × 5 kV Railway Power Supply Systems

Author

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  • Jesus Serrano

    (Department of Electrical Engineering, Escuela Técnica Superior Ingenieros Industriales, Technical University of Madrid, C/José Gutierrez Abascal, 2, Madrid 28006, Spain)

  • Carlos A. Platero

    (Department of Electrical Engineering, Escuela Técnica Superior Ingenieros Industriales, Technical University of Madrid, C/José Gutierrez Abascal, 2, Madrid 28006, Spain)

  • Maximo López-Toledo

    (Department of Electrical Engineering, Escuela Técnica Superior Ingenieros Industriales, Technical University of Madrid, C/José Gutierrez Abascal, 2, Madrid 28006, Spain)

  • Ricardo Granizo

    (Department of Electrical Engineering, Escuela Técnica Superior Ingenieros Industriales, Technical University of Madrid, C/José Gutierrez Abascal, 2, Madrid 28006, Spain)

Abstract

The location of ground faults in railway electric lines in 2 × 5 kV railway power supply systems is a difficult task. In both 1 × 25 kV and transmission power systems it is common practice to use distance protection relays to clear ground faults and localize their positions. However, in the particular case of this 2 × 25 kV system, due to the widespread use of autotransformers, the relation between the distance and the impedance seen by the distance protection relays is not linear and therefore the location is not accurate enough. This paper presents a simple and economical method to identify the subsection between autotransformers and the conductor (catenary or feeder) where the ground fault is happening. This method is based on the comparison of the angle between the current and the voltage of the positive terminal in each autotransformer. Consequently, after the identification of the subsection and the conductor with the ground defect, only the subsection where the ground fault is present will be quickly removed from service, with the minimum effect on rail traffic. This method has been validated through computer simulations and laboratory tests with positive results.

Suggested Citation

  • Jesus Serrano & Carlos A. Platero & Maximo López-Toledo & Ricardo Granizo, 2015. "A Novel Ground Fault Identification Method for 2 × 5 kV Railway Power Supply Systems," Energies, MDPI, vol. 8(7), pages 1-20, July.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:7:p:7020-7039:d:52471
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    References listed on IDEAS

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    1. Byung Eun Lee & Jung-Wook Park & Peter A. Crossley & Yong Cheol Kang, 2014. "Induced Voltages Ratio-Based Algorithm for Fault Detection, and Faulted Phase and Winding Identification of a Three-Winding Power Transformer," Energies, MDPI, vol. 7(9), pages 1-19, September.
    2. Thomas Tamo Tatietse & Joseph Voufo, 2009. "Fault Diagnosis on Medium Voltage (MV) Electric Power Distribution Networks: The Case of the Downstream Network of the AES-SONEL Ngousso Sub-Station," Energies, MDPI, vol. 2(2), pages 1-15, April.
    3. Yimin Zhou & Guoqing Xu & Yanfeng Chen, 2012. "Fault Location in Power Electrical Traction Line System," Energies, MDPI, vol. 5(12), pages 1-17, November.
    4. Guoqing Xu & Yimin Zhou & Yanfeng Chen, 2013. "Model-Based Fault Location with Frequency Domain for Power Traction System," Energies, MDPI, vol. 6(7), pages 1-18, June.
    5. Bingtuan Gao & Wei Wei & Luoma Zhang & Ning Chen & Yingjun Wu & Yi Tang, 2014. "Differential Protection for an Outgoing Transformer of Large-Scale Doubly Fed Induction Generator-Based Wind Farms," Energies, MDPI, vol. 7(9), pages 1-20, August.
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    1. Jesús Serrano & Carlos A. Platero & Máximo López-Toledo & Ricardo Granizo, 2017. "A New Method of Ground Fault Location in 2 × 25 kV Railway Power Supply Systems," Energies, MDPI, vol. 10(3), pages 1-14, March.
    2. Shuai Wang & Minwu Chen & Qunzhan Li & Wenxun Huang & Bo Wu, 2018. "A New Hybrid Fault Identification Method Based on Multiterminals Synchronous Measure Information for All Parallel at Traction Power Supply System," Energies, MDPI, vol. 11(10), pages 1-21, October.
    3. Olga Akhmedova & Anatoliy Soshinov & Farit Gazizov & Svetlana Ilyashenko, 2021. "Development of an Intelligent System for Distance Relay Protection with Adaptive Algorithms for Determining the Operation Setpoints," Energies, MDPI, vol. 14(4), pages 1-20, February.

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