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Fault Model and Travelling Wave Matching Based Single Terminal Fault Location Algorithm for T-Connection Transmission Line: A Yunnan Power Grid Study

Author

Listed:
  • Hongchun Shu

    (Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China)

  • Yiming Han

    (Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China)

  • Ran Huang

    (Electric Power Research Institute of Yunnan Power Grid Co., Ltd., Kunming 650217, China)

  • Yutao Tang

    (Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China)

  • Pulin Cao

    (Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China)

  • Bo Yang

    (Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China)

  • Yu Zhang

    (Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China)

Abstract

Due to the complex structure of the T-connection transmission lines, it is extremely difficult to identify the reflected travelling wave from the fault point and that from the connection point by the measurement from only one terminal. According to the characteristics of the structure of the T-connection transmission line, the reflection of the travelling wave within the line after the failure of different sections in T-connection transmission line are analyzed. Based on the lattice diagram of the travelling wave, the sequence of travelling waves detected at the measuring terminal varies with the fault distance and the faulty section. Moreover, the sequence of travelling waves detected in one terminal is unique at each faulty section. This article calculates the arrival time of travelling waves of fault points at different locations in different sections to form the collection of the travelling wave arrival time sequence. Then the sequence of travelling waves of the new added fault waveforms is extracted to compare with the sequences in the collection for the faulty section identification and fault location. This proposed method can accurately locate the fault with different fault types, fault resistances and system impedances by only single-terminal fault data. Both Power Systems Computer Aided Design/ Electromagnetic Transients including DC (PSCAD/EMTDC) and actual measurement data are implemented to verify the effectiveness of this method.

Suggested Citation

  • Hongchun Shu & Yiming Han & Ran Huang & Yutao Tang & Pulin Cao & Bo Yang & Yu Zhang, 2020. "Fault Model and Travelling Wave Matching Based Single Terminal Fault Location Algorithm for T-Connection Transmission Line: A Yunnan Power Grid Study," Energies, MDPI, vol. 13(6), pages 1-22, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:6:p:1506-:d:335635
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    References listed on IDEAS

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    1. Pulin Cao & Hongchun Shu & Bo Yang & Na An & Dalin Qiu & Weiye Teng & Jun Dong, 2018. "Voltage Distribution–Based Fault Location for Half-Wavelength Transmission Line with Large-Scale Wind Power Integration in China," Energies, MDPI, vol. 11(3), pages 1-22, March.
    2. Yu Han & Cheng Xu & Gang Xu & Yuwen Zhang & Yongping Yang, 2017. "An Improved Flexible Solar Thermal Energy Integration Process for Enhancing the Coal-Based Energy Efficiency and NO x Removal Effectiveness in Coal-Fired Power Plants under Different Load Conditions," Energies, MDPI, vol. 10(10), pages 1-18, September.
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    5. Yang, Bo & Yu, Tao & Shu, Hongchun & Dong, Jun & Jiang, Lin, 2018. "Robust sliding-mode control of wind energy conversion systems for optimal power extraction via nonlinear perturbation observers," Applied Energy, Elsevier, vol. 210(C), pages 711-723.
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