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Characteristics dipole antenna for partial discharge in gas insulated switchgear Rian Nurdiansyah; Farradita Nugraha; Nadya Glaudira; Linda Faridah
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 1: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i1.pp13-22

Abstract

The insulation condition of high-voltage equipment can be determined by measuring partial discharge (PD), which is an important indicator in insulation degradation. One of the PD detection methods that can be used is to use antennas as sensors in detecting electromagnetic waves generated from PD activities, especially in gas insulated switchgear (GIS) systems. This study focuses on designing and testing dipole antennas in the ultra-high frequency (UHF) frequency range of 300 Mhz-3 GHz to detect PD signals in GIS. Previous studies on dipole antennas with dimensions of 66×15 mm have reported a bandwidth of 336 MHz and a return loss of -22.4 dB at 1.3 GHz. The antenna was fabricated using an FR4-epoxy substrate with a thickness of 1.6 mm, a substrate radius of 102 mm, and a gap distance of 2 mm. Optimization of the antenna length and width significantly improved performance characteristics. Simulation results show that a dipole antenna with dimensions of 35×40 mm antenna produced a wider bandwidth of 989 MHz with a return loss of −28.47 dB at 1.4 GHz. Experimental validation using vector network analyzer (VNA) and PD testing on GIS confirmed that the optimized dipole antenna effectively detected PD activity at a voltage level of 16 kV.
Estimasi Resistivitas Tanah Menggunakan Komputasi Interpolasi Linear untuk Perancangan Sistem Pembumian di Kawasan Vulkanik Rendi Rendi; Bragas Afrizaldhi Pratama; Nadya Glaudira
Fuse-teknik Elektro Vol 6 No 1 (2026): Fuse-teknik Elektro
Publisher : Fakultas Teknik Universitas Garut

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Abstract

Accurate estimation of soil resistivity is crucial in the design of grounding systems, yet it is often constrained by the lack of data at specific depths (blind spot). This study aims to validate a MATLAB-based linear interpolation computational method for estimating soil resistivity in blind spot areas. For validation purposes, secondary data from the study by Rukmana et al.  in a volcanic area at depths of 0.5 meters and 1.5 meters were used to predict the value at 1.0 meter, wichspre was then comparatively  tested against the actual field data. Computational results show that the estimated values range from 13.105 Ωm to 19.965 Ωm. Relative error analysis demonstrates varying accuracy levels, with the smallest deviation of 4.42% in linear trends and the largest at 26.99% due to volcanic soil moisture anomalies. Technically, these resistivity values meet the safety limits of the General Requirements for Electrical Installations (PUIL) 2020 standard. Based on this testing, the linear interpolation method proves to be sufficiently representative for preliminary design estimation. It is recommended to use a single rod electrode configuration at the location without the need for additional additive engineering.