Volume 21, Issue 2 (Special Issue on the 1st International Conference on ELECRiS 2024 Malaysia - June 2025)                   IJEEE 2025, 21(2): 3640-3640 | Back to browse issues page

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Mohd Mukhtar S, ISA M, Abdullah Al-Hadi A. Ultra-high Frequency Sensor for Partial Discharges Detection in High Voltage Substation. IJEEE 2025; 21 (2) :3640-3640
URL: http://ijeee.iust.ac.ir/article-1-3640-en.html
Ultra-high Frequency Sensor for Partial Discharges Detection in High Voltage Substation
Sharulnizam Mohd Mukhtar , MUZAMIR ISA , Azremi Abdullah Al-Hadi
Abstract:   (144 Views)
The development of advanced diagnostic tools is critical for the effective monitoring and management of electrical insulation systems. This paper presents the development of an Ultra High Frequency (UHF) sensor designed for the detection of partial discharges (PD) within high-voltage substations. The study focuses on the sensor’s technical development, encompassing design considerations, fabrication processes, and initial performance evaluations in laboratory settings. The engineering principles underlying the sensor design are detailed, including the selection of innovative materials that enhance sensitivity and frequency response. The sensor configuration is tailored to optimize the detection of PD signals, with adjustments made based on simulated PD scenarios. Initial testing results demonstrate the sensor’s capability to detect a range of PD activities, showcasing its potential effectiveness in real-world applications. The sensor's performance is analyzed through a series of controlled lab experiments, which confirm its high sensitivity and broad operational frequency range. This paper not only illustrates the technical specifications and capabilities of the newly developed UHF sensor but also discusses its practical implications for improving the reliability and efficiency of PD monitoring systems in electrical substations.
Keywords: Partial Discharge, UHF Sensor, Antipodal Vivaldi Antenna.
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Type of Study: Only For Articles of ELECRiS 2024 | Subject: Diagnostics Techniques
Received: 2024/12/25 | Revised: 2025/03/13 | Accepted: 2025/02/22
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.