Reclamation of Aged Oil Using Physical-Chemical Method and Analysed Using ANFIS Algorithm

Abstract

In this work, the transformer oil reclamation experimental test has been created utilising the physical-chemical reclamation technique and oil lifespan analysis using ANFIS algorithm. The significant of work is that it develops an ANFIS algorithm for estimating transformer life and analyzing transformer oil reliability. Rubber seed oil (mineral oil) is used in transformers to cool the substantial portion of the power transformer and decrease electrical ageing issues. These mineral oils interact chemically with the windings, suffering electrical and mechanical pressure owing to high temperatures over its power balance which leads to moisture and oxidation. In order to improve the performance of ageing oil, a physical and chemical reclamation approach with two primary steps, Coagulation and Adsorption, is used. Breakdown voltage, flash point, viscosity, and fire point are the important dielectric qualities of oil reclamation that will differentiate the performance between before and after reclamation when compared to diverse oil samples. The results of the work revealed that the physical-chemical reclamation process is enhanced the dielectric characteristics of the ageing oil, and the parameters of the reclaimed oil are utilised to predict the projected lifespan of the transformer service.