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An Optimized Solution for Fault Detection and Location in Underground Cables Based on Traveling Waves

Author

Listed:
  • Rizwan Tariq

    (Electrical Engineering Section, British Malaysian Institute, Universiti Kuala Lumpur, Bt. 8, Jalan Sungai Pusu, Gombak 53100, Selangor, Malaysia)

  • Ibrahim Alhamrouni

    (Electrical Engineering Section, British Malaysian Institute, Universiti Kuala Lumpur, Bt. 8, Jalan Sungai Pusu, Gombak 53100, Selangor, Malaysia)

  • Ateeq Ur Rehman

    (Department of Electrical Engineering, Government College University, Lahore 54000, Pakistan)

  • Elsayed Tag Eldin

    (Faculty of Engineering and Technology, Future University in Egypt, New Cairo 11835, Egypt)

  • Muhammad Shafiq

    (Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea)

  • Nivin A. Ghamry

    (Fuculty of Computers and Artificial intelligene, Cairo University, Giza 3750010, Egypt)

  • Habib Hamam

    (Faculty of Engineering, University de Moncton, Moncton, NB E1A3E9, Canada
    International Institute of Technology and Management, Commune d’Akanda, Libreville BP 1989, Gabon
    Spectrum of Knowledge Production & Skills Development, Sfax 3027, Tunisia
    Department of Electrical and Electronic Engineering Science, School of Electrical Engineering, University of Johannesburg, Johannesburg 2006, South Africa)

Abstract

Faults in the power system affect the reliability, safety, and stability. Power-distribution systems are familiar with the different faults that can damage the overall performance of the entire system, from which they need to be effectively cleared. Underground power systems are more complex and require extra accuracy in fault detection and location for optimum fault management. Slow processing and the unavailability of a protection zone for relay coordination are concerns in fault detection and location, as these reduce the performance of power-protection systems. In this regard, this article proposes an optimized solution for a fault detection and location framework for underground cables based on a discrete wavelet transform (DWT). The proposed model supports area detection, the identification of faulty sections, and fault location. To overcome the abovementioned facts, we optimize the relay coordination for the overcurrent and timing relays. The proposed protection zone has two sequential stages for the current and time at which it optimizes the current and time settings of the connected relays through Newton–Raphson analysis (NRA). Moreover, the traveling times for the DWT are modeled, which relate to the protection zone provided by the relay coordination, and the faulty line that is identified as the relay protection is not overlapped. The model was tested for 132 kV / 11 kV and 16-node networks for underground cables, and the obtained results show that the proposed model can detect and locate the cable’s faults speedily, as it detects the fault in 0.01 s, and at the accurate location. MATLAB/Simulink (DigSILENT Toolbox) is used to establish the underground network for fault location and detection.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6468-:d:906733
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    References listed on IDEAS

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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.
    2. Ana-Maria Moldovan & Mircea Ion Buzdugan, 2023. "Prediction of Faults Location and Type in Electrical Cables Using Artificial Neural Network," Sustainability, MDPI, vol. 15(7), pages 1-19, April.

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