Magnetic Sensor-Based Approach for Overhead Transmission Lines Fault Detection and Location Using Line Fault Current

Patrick Nyaaba Ayambire

doi:10.5152/tepes.2025.24035

Magnetic Sensor-Based Approach for Overhead Transmission Lines Fault Detection and Location Using Line Fault Current

Abstract

This paper proposes a magnetic sensor-based approach to overhead transmission line fault detection and location. The proposed approach utilizes magnetic flux density measurements obtained using an array of magnetic sensors installed at the ends of a transmission line to measure currenttraveling waves. These measurements are analyzed to detect and locate faults. The scheme was implemented and tested using a transmission line modeled in Electrical Transient Analyzer Program and MATLAB/Simulink. The experimental evaluation validates the high efficiency of the scheme in measuring current traveling waves and accurately detecting and locating faults. Comparative analysis with a generalized traveling wave-based approach highlighted the validity and efficiency of the proposed approach. Across all test scenarios, the method delivered exceptional results, achieving an average percentage error of only 0.02445% in fault locations for various fault types.

Keywords

Thanks

The author would like to declare that the support of Anastasia Amissah, a BSc. Electrical and Electronics Engineering student of the Department of Electrical and Electronics Engineering at AAMUSTED, for proofreading the manuscript is greatly appreciated.

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Details

Primary Language

English

Subjects

Electrical Energy Transmission, Networks and Systems

Journal Section

Research Article

Authors

Patrick Nyaaba Ayambire ^* This is me
0000-0001-6526-9535
Ghana

Publication Date

June 16, 2025

Submission Date

November 25, 2024

Acceptance Date

January 31, 2025

Published in Issue

Year 2025 Volume: 5 Number: 2

DOI

https://doi.org/10.5152/tepes.2025.24035

IZ

https://izlik.org/JA42BP84LY

Cite

RIS / Bibtex

APA

Ayambire, P. N. (2025). Magnetic Sensor-Based Approach for Overhead Transmission Lines Fault Detection and Location Using Line Fault Current. Turkish Journal of Electrical Power and Energy Systems, 5(2), 132-141. https://doi.org/10.5152/tepes.2025.24035

AMA

1.Ayambire PN. Magnetic Sensor-Based Approach for Overhead Transmission Lines Fault Detection and Location Using Line Fault Current. TEPES. 2025;5(2):132-141. doi:10.5152/tepes.2025.24035

Chicago

Ayambire, Patrick Nyaaba. 2025. “Magnetic Sensor-Based Approach for Overhead Transmission Lines Fault Detection and Location Using Line Fault Current”. Turkish Journal of Electrical Power and Energy Systems 5 (2): 132-41. https://doi.org/10.5152/tepes.2025.24035.

EndNote

Ayambire PN (June 1, 2025) Magnetic Sensor-Based Approach for Overhead Transmission Lines Fault Detection and Location Using Line Fault Current. Turkish Journal of Electrical Power and Energy Systems 5 2 132–141.

IEEE

[1]P. N. Ayambire, “Magnetic Sensor-Based Approach for Overhead Transmission Lines Fault Detection and Location Using Line Fault Current”, TEPES, vol. 5, no. 2, pp. 132–141, June 2025, doi: 10.5152/tepes.2025.24035.

ISNAD

Ayambire, Patrick Nyaaba. “Magnetic Sensor-Based Approach for Overhead Transmission Lines Fault Detection and Location Using Line Fault Current”. Turkish Journal of Electrical Power and Energy Systems 5/2 (June 1, 2025): 132-141. https://doi.org/10.5152/tepes.2025.24035.

JAMA

1.Ayambire PN. Magnetic Sensor-Based Approach for Overhead Transmission Lines Fault Detection and Location Using Line Fault Current. TEPES. 2025;5:132–141.

MLA

Ayambire, Patrick Nyaaba. “Magnetic Sensor-Based Approach for Overhead Transmission Lines Fault Detection and Location Using Line Fault Current”. Turkish Journal of Electrical Power and Energy Systems, vol. 5, no. 2, June 2025, pp. 132-41, doi:10.5152/tepes.2025.24035.

Vancouver

1.Patrick Nyaaba Ayambire. Magnetic Sensor-Based Approach for Overhead Transmission Lines Fault Detection and Location Using Line Fault Current. TEPES. 2025 Jun. 1;5(2):132-41. doi:10.5152/tepes.2025.24035