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Location of Faulty Section and Faults in Hybrid Multi-Terminal Lines Based on Traveling Wave Methods

Author

Listed:
  • Yi Ning

    (School of Information Science and Engineering, Northeastern University, Shenyang 110819, China)

  • Dazhi Wang

    (School of Information Science and Engineering, Northeastern University, Shenyang 110819, China)

  • Yunlu Li

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Haixin Zhang

    (School of Information Science and Engineering, Northeastern University, Shenyang 110819, China)

Abstract

Traveling-wave-based fault location methods are widely used for modern power systems owing to their high accuracy on two-terminal lines. However, they perform poorly on hybrid multi-terminal lines. Many traveling-wave-based methods have been developed recently to solve this problem, but they have high computational burdens and complex fault location procedures. To tackle this challenge, a new fault location method is presented in this paper. First, to ensure that the implementation of the proposed method is not affected by different line parameters, a normalization algorithm is used for hybrid multi-terminal lines, which consist of overhead lines and cables. To reduce the complexity, a novel fault section identification method that depends only on the first three arrival times is applied to separate a three-terminal fault section from the multi-terminal lines. Consequently, the fault can be located using a corresponding two-terminal fault location method in this fault section. To verify its effectiveness, fault case studies and performance evaluations are performed in the PSCAD and MATLAB/Simulink environment. The simulation results reveal that the proposed method can correctly identify the fault section and accurately locate the faults, which is simple and suitable for hybrid multi-terminal lines.

Suggested Citation

  • Yi Ning & Dazhi Wang & Yunlu Li & Haixin Zhang, 2018. "Location of Faulty Section and Faults in Hybrid Multi-Terminal Lines Based on Traveling Wave Methods," Energies, MDPI, vol. 11(5), pages 1-18, May.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:5:p:1105-:d:144008
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    References listed on IDEAS

    as
    1. Enrique Personal & Antonio García & Antonio Parejo & Diego Francisco Larios & Félix Biscarri & Carlos León, 2016. "A Comparison of Impedance-Based Fault Location Methods for Power Underground Distribution Systems," Energies, MDPI, vol. 9(12), pages 1-30, December.
    2. Kongming Sun & Qing Chen & Pu Zhao, 2017. "Automatic Faulted Feeder Section Location and Isolation Method for Power Distribution Systems Considering the Change of Topology," Energies, MDPI, vol. 10(8), pages 1-22, July.
    3. Ting-Chia Ou & Kai-Hung Lu & Chiou-Jye Huang, 2017. "Improvement of Transient Stability in a Hybrid Power Multi-System Using a Designed NIDC (Novel Intelligent Damping Controller)," Energies, MDPI, vol. 10(4), pages 1-16, April.
    4. Rui Liang & Zhi Yang & Nan Peng & Chenglei Liu & Firuz Zare, 2017. "Asynchronous Fault Location in Transmission Lines Considering Accurate Variation of the Ground-Mode Traveling Wave Velocity," Energies, MDPI, vol. 10(12), pages 1-18, November.
    5. Shuo Zhang & Guibin Zou & Qiang Huang & Houlei Gao, 2018. "A Traveling-Wave-Based Fault Location Scheme for MMC-Based Multi-Terminal DC Grids," Energies, MDPI, vol. 11(2), pages 1-15, February.
    6. Danilo Pinto Moreira de Souza & Eliane Da Silva Christo & Aryfrance Rocha Almeida, 2017. "Location of Faults in Power Transmission Lines Using the ARIMA Method," Energies, MDPI, vol. 10(10), pages 1-12, October.
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    Cited by:

    1. Dazhi Wang & Yi Ning & Cuiling Zhang, 2018. "An Effective Ground Fault Location Scheme Using Unsynchronized Data for Multi-Terminal Lines," Energies, MDPI, vol. 11(11), pages 1-16, October.
    2. Liqiang Wei & Xianhai Pang & Jingang Su & Tao Han & Yufei Yao, 2022. "Improved Locating Method for Local Defects in XLPE Cable Based on Broadband Impedance Spectrum," Energies, MDPI, vol. 15(21), pages 1-14, November.

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