eprintid: 20450
rev_number: 3
eprint_status: archive
userid: 1
dir: disk0/00/02/04/50
datestamp: 2026-01-29 06:27:38
lastmod: 2026-01-29 06:27:38
status_changed: 2026-01-29 06:27:38
type: conference_item
metadata_visibility: show
creators_name: Soni, Rahul
creators_name: Raj, Raymon Antony
creators_name: Silwal, Bishal
creators_name: Prasojo, Rahman Azis
creators_name: Darwish, M.M.F.
creators_name: Bakar, Norazhar Abu
title: Novel Hybrid Algorithm for Investigation of Dissolved Gas Analysis for Alternate Dielectric Fluids of Power Transformer
ispublished: pub
keywords: Distribution transformers; Effluents; Electric autotransformers; Electric instrument transformers; Electric transformer insulation; Exhaust gases; Alternate dielectric fluid; Dielectric fluid; Dissolved gases analysis; Electrical transmission and distributions; Elements of equipment; Fuzzy logic controllers; Hybrid algorithms; Incipient faults; Power; Power levels; Power transformers
note: Cited by: 1
abstract: The power transformer is the most important element of equipment in an electrical transmission and distribution network. The power and voltage levels that these transformers can manage determine their size, and as the transformer's volume increases, internal isolation and cooling become more challenging. The most popular insulating fluid used in transformers for insulation and cooling is mineral-based oil, which has demonstrated exceptional dielectric and thermal qualities. However, alternative oil technologies have been sought to replace mineral-based oils in recent years because to concerns about safety, cost, and environmental impact. In this context, extensive research efforts have emerged on biological oils for use in transformers. This paper examines the sustainability, safety, and electrical performance of bio-based ester oil in transformer applications with respect to dissolved gas analysis (DGA). AI-based Fuzzy logic controller (FLC) with Duval's triangle (DT) and Duval's pentagon (DP), IEC, CIGRE reports are used in a hybrid manner to identify the possible incipient faults inside the oil-immersed transformers. The graphical analysis of various fuzzy logic plots along with DT and DP are utilized to critically analyze the possible incipient faults arrayed due to DGA. The proposed work proficient compared to previously published results. Highest efficiency of DT and DP based FLC (92), followed by furan analysis (82.3). Lastly, recommendations are made on potential fixes for the problems raised and the future course of study for alternate dielectric fluids-based power transformers. The suggested techniques in this research offer a higher diagnostic accuracy than the present approach. © 2025 IEEE.
date: 2025
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-105004644003&doi=10.1109%2fSSDEE64538.2025.10968045&partnerID=40&md5=f2fea119f0dc6cbfd362a28f7a7b3980
id_number: 10.1109/SSDEE64538.2025.10968045
full_text_status: none
publication: 2025 IEEE 1st International Conference on Smart and Sustainable Developments in Electrical Engineering, SSDEE 2025
refereed: TRUE
isbn: 979-833154210-8
citation:   Soni, Rahul and Raj, Raymon Antony and Silwal, Bishal and Prasojo, Rahman Azis and Darwish, M.M.F. and Bakar, Norazhar Abu  (2025) Novel Hybrid Algorithm for Investigation of Dissolved Gas Analysis for Alternate Dielectric Fluids of Power Transformer.  In: UNSPECIFIED.