Determination of transformer performance index based on dissolved gas analysis

Dissolved Gas Analysis (DGA) is the single most widely used and most effective test to determine transformer’s operation conditions. The detection of gases generated in the transformer is the first available indication of the transformer malfunction. Several methods used to interpret of DGA results...

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Main Author: Md. Zain, Zainol Alam
Format: Thesis
Published: 2010
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spelling my-utm-ep.312492020-09-30T04:58:55Z Determination of transformer performance index based on dissolved gas analysis 2010 Md. Zain, Zainol Alam TK Electrical engineering. Electronics Nuclear engineering Dissolved Gas Analysis (DGA) is the single most widely used and most effective test to determine transformer’s operation conditions. The detection of gases generated in the transformer is the first available indication of the transformer malfunction. Several methods used to interpret of DGA results but not single method will necessarily give a true indication. In this project, the samples from energise transformers are extracted and analysis of gases evolved from oil degradation due to thermal and electrical faults. Several DGA interpretation schemes will be propose and applied for fault diagnostics. Some of the applied interpretation techniques are IEC 60599, Rogers and Durenburg Ratio, Duval Method and Key Gas analysis. Also, a case study on actual transformer faults is taken into account in this interpretation. The results of the interpretation will represent the condition of the power transformers and needs to quantify into a condition-based DGA index with a purpose to carry out necessary prevention action 2010 Thesis http://eprints.utm.my/id/eprint/31249/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:76063?queryType=vitalDismax&query=Determination+of+transformer+performance+index+based+on+dissolved+gas+analysis masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Md. Zain, Zainol Alam
Determination of transformer performance index based on dissolved gas analysis
description Dissolved Gas Analysis (DGA) is the single most widely used and most effective test to determine transformer’s operation conditions. The detection of gases generated in the transformer is the first available indication of the transformer malfunction. Several methods used to interpret of DGA results but not single method will necessarily give a true indication. In this project, the samples from energise transformers are extracted and analysis of gases evolved from oil degradation due to thermal and electrical faults. Several DGA interpretation schemes will be propose and applied for fault diagnostics. Some of the applied interpretation techniques are IEC 60599, Rogers and Durenburg Ratio, Duval Method and Key Gas analysis. Also, a case study on actual transformer faults is taken into account in this interpretation. The results of the interpretation will represent the condition of the power transformers and needs to quantify into a condition-based DGA index with a purpose to carry out necessary prevention action
format Thesis
qualification_level Master's degree
author Md. Zain, Zainol Alam
author_facet Md. Zain, Zainol Alam
author_sort Md. Zain, Zainol Alam
title Determination of transformer performance index based on dissolved gas analysis
title_short Determination of transformer performance index based on dissolved gas analysis
title_full Determination of transformer performance index based on dissolved gas analysis
title_fullStr Determination of transformer performance index based on dissolved gas analysis
title_full_unstemmed Determination of transformer performance index based on dissolved gas analysis
title_sort determination of transformer performance index based on dissolved gas analysis
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2010
_version_ 1747815758032797696