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High-Impedance Fault Diagnosis: A Review

Author

Listed:
  • Abdulaziz Aljohani

    (Unconventional Resources Engineering and Project Management Department, Saudi Arabian Oil Company (Saudi Aramco), Dhahran 31311, Saudi Arabia)

  • Ibrahim Habiballah

    (Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia)

Abstract

High-impedance faults (HIFs) represent one of the biggest challenges in power distribution networks. An HIF occurs when an electrical conductor unintentionally comes into contact with a highly resistive medium, resulting in a fault current lower than 75 amperes in medium-voltage circuits. Under such condition, the fault current is relatively close in value to the normal drawn ampere from the load, resulting in a condition of blindness towards HIFs by conventional overcurrent relays. This paper intends to review the literature related to the HIF phenomenon including models and characteristics. In this work, detection, classification, and location methodologies are reviewed. In addition, diagnosis techniques are categorized, evaluated, and compared with one another. Finally, disadvantages of current approaches and a look ahead to the future of fault diagnosis are discussed.

Suggested Citation

  • Abdulaziz Aljohani & Ibrahim Habiballah, 2020. "High-Impedance Fault Diagnosis: A Review," Energies, MDPI, vol. 13(23), pages 1-18, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6447-:d:457537
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    References listed on IDEAS

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    1. S. Maximov & V. Torres & H. F. Ruiz & J. L. Guardado, 2014. "Analytical Model for High Impedance Fault Analysis in Transmission Lines," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, September.
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    Cited by:

    1. Younis M. Nsaif & Molla Shahadat Hossain Lipu & Aini Hussain & Afida Ayob & Yushaizad Yusof & Muhammad Ammirrul A. M. Zainuri, 2022. "A Novel Fault Detection and Classification Strategy for Photovoltaic Distribution Network Using Improved Hilbert–Huang Transform and Ensemble Learning Technique," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    2. Younis M. Nsaif & Molla Shahadat Hossain Lipu & Aini Hussain & Afida Ayob & Yushaizad Yusof & Muhammad Ammirrul A. M. Zainuri, 2022. "A New Voltage Based Fault Detection Technique for Distribution Network Connected to Photovoltaic Sources Using Variational Mode Decomposition Integrated Ensemble Bagged Trees Approach," Energies, MDPI, vol. 15(20), pages 1-20, October.

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