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Diagnosis and Location of Power Cable Faults Based on Characteristic Frequencies of Impedance Spectroscopy

Author

Listed:
  • Gen Li

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Jie Chen

    (Electric Power Research Institute, State Grid Jiangsu Electric Power Company, Nanjing 211103, China)

  • Hongze Li

    (State Grid Jiangsu Electric Power Company, Nanjing 211103, China)

  • Libin Hu

    (Electric Power Research Institute, State Grid Jiangsu Electric Power Company, Nanjing 211103, China)

  • Wenjun Zhou

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Chengke Zhou

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
    School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK)

  • Mingzhen Li

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
    School of Electrical Engineering, Nantong University, Nantong 226019, China)

Abstract

Power cable condition diagnosis and deterioration location rely on signatures of aging characteristics which precede the final breakdown. The purpose of this study was to investigate how to diagnose and locate the aging and/or deterioration of power cables through the analysis of the impedance spectroscopy. The concepts of the reference frequency and characteristic frequency of cable impedance spectroscopy are defined for the first time. Based on the reference frequency, the optimal frequency range for analysis of impedance spectroscopy can be determined, whilst based on characteristic frequency, a set of criteria for assessing cable conditions are examined and established. The solution proposed in this paper has the advantage of being easier to implement than the previously reported “broadband” impedance spectroscopy methods, as it helps to reduce the frequency range for measurement instrumentations; the proposed method also does not need the measurements of the parameters of the cable being tested.

Suggested Citation

  • Gen Li & Jie Chen & Hongze Li & Libin Hu & Wenjun Zhou & Chengke Zhou & Mingzhen Li, 2022. "Diagnosis and Location of Power Cable Faults Based on Characteristic Frequencies of Impedance Spectroscopy," Energies, MDPI, vol. 15(15), pages 1-18, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5617-:d:878770
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    Cited by:

    1. Songyuan Li & Pengxian Song & Zhanpeng Wei & Xu Li & Qinghua Tang & Zhengzheng Meng & Ji Li & Songtao Liu & Yuhuai Wang & Jin Li, 2022. "Partial Discharge Detection and Defect Location Method in GIS Cable Terminal," Energies, MDPI, vol. 16(1), pages 1-10, December.

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