LAPSE:2023.10231
Published Article
LAPSE:2023.10231
An Optimized Solution for Fault Detection and Location in Underground Cables Based on Traveling Waves
February 27, 2023
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.
Keywords
circuit breakers, Fault Detection, fault location, Newton–Raphson analysis, wavelet transform
Suggested Citation
Tariq R, Alhamrouni I, Rehman AU, Tag Eldin E, Shafiq M, Ghamry NA, Hamam H. An Optimized Solution for Fault Detection and Location in Underground Cables Based on Traveling Waves. (2023). LAPSE:2023.10231
Author Affiliations
Tariq R: Electrical Engineering Section, British Malaysian Institute, Universiti Kuala Lumpur, Bt. 8, Jalan Sungai Pusu, Gombak 53100, Selangor, Malaysia
Alhamrouni I: Electrical Engineering Section, British Malaysian Institute, Universiti Kuala Lumpur, Bt. 8, Jalan Sungai Pusu, Gombak 53100, Selangor, Malaysia [ORCID]
Rehman AU: Department of Electrical Engineering, Government College University, Lahore 54000, Pakistan [ORCID]
Tag Eldin E: Faculty of Engineering and Technology, Future University in Egypt, New Cairo 11835, Egypt [ORCID]
Shafiq M: Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea [ORCID]
Ghamry NA: Fuculty of Computers and Artificial intelligene, Cairo University, Giza 3750010, Egypt
Hamam H: 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; Depa [ORCID]
Journal Name
Energies
Volume
15
Issue
17
First Page
6468
Year
2022
Publication Date
2022-09-05
Published Version
ISSN
1996-1073
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Original Submission
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PII: en15176468, Publication Type: Journal Article
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LAPSE:2023.10231
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doi:10.3390/en15176468
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Feb 27, 2023
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