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High Impedance Fault Detection and Location in Combined Overhead Line and Underground Cable Distribution Networks Equipped with Data Loggers

Author

Listed:
  • Saeid Khavari

    (Young Researchers and Elite Club, Bushehr Branch, Islamic Azad University, Bushehr 7515895496, Iran)

  • Rahman Dashti

    (Clinical and Laboratory Center of Power System & Protection, Engineering Faculty, Persian Gulf University, Bushehr 7516913817, Iran)

  • Hamid Reza Shaker

    (Center for Energy Informatics, University of Southern Denmark, 5230 Odense, Denmark)

  • Athila Santos

    (Center for Energy Informatics, University of Southern Denmark, 5230 Odense, Denmark)

Abstract

Power distribution networks are vulnerable to different faults, which compromise the grid performance and need to be managed effectively. Automatic and accurate fault detection and location are key components of effective fault management. This paper proposes a new framework for fault detection and location for smart distribution networks that are equipped with data loggers. The framework supports networks with mixed overhead lines and underground cables. The proposed framework consists of area detection, faulty section identification, and high impedance fault location. Firstly, the faulty zone and section are detected based on the operation of over-current relays and digital fault recorders. Then, by comparing the recorded traveling times at both ends of lines, which are related to the protection zone, the faulty line is identified. In the last step, the location of the fault is estimated based on discrete wavelet transform. The proposed method is tested on a 20 kV 13 node network, which is composed of overhead lines and underground cables. The method is tested in both balanced and unbalanced configurations. The obtained results confirm the advantages of the proposed method compared with the current state-of-the art.

Suggested Citation

  • Saeid Khavari & Rahman Dashti & Hamid Reza Shaker & Athila Santos, 2020. "High Impedance Fault Detection and Location in Combined Overhead Line and Underground Cable Distribution Networks Equipped with Data Loggers," Energies, MDPI, vol. 13(9), pages 1-15, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2331-:d:355100
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Rizwan Tariq & Ibrahim Alhamrouni & Ateeq Ur Rehman & Elsayed Tag Eldin & Muhammad Shafiq & Nivin A. Ghamry & Habib Hamam, 2022. "An Optimized Solution for Fault Detection and Location in Underground Cables Based on Traveling Waves," Energies, MDPI, vol. 15(17), pages 1-19, September.
    3. Kimmo Kauhaniemi, 2023. "Protection and Communication Techniques in Modern Power Systems," Energies, MDPI, vol. 16(5), pages 1-2, February.

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