Correlation of partial discharge occurrence in power transformer by using self organizing map, acoustic partial discharge and DGA
Power transformer consists of components which are under consistent thermal and electrical stresses. The major component which degrades under these stresses is the paper insulation of power transformer. The degradation is accelerated by the existence of partial discharge in the transformer. The part...
Saved in:
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Article |
Published: |
2023
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Tenaga Nasional |
id |
my.uniten.dspace-30872 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-308722023-12-29T15:55:05Z Correlation of partial discharge occurrence in power transformer by using self organizing map, acoustic partial discharge and DGA Samsudinl R. Sk T. Ramli A.Q. 35410298500 36807107000 35779000400 Dissolved Gas Analysis Gas Rates Hydrogen Partial Discharge Total Dissolved Combustible Gas Acoustics Discharge (fluid mechanics) Dissolution Electric instrument transformers Electric transformer insulation Electric transformer testing Gas chromatography Gases Hydrogen Hydrogen production Methane Power transformers Self organizing maps Strength of materials Transformer substations Acoustic PD measurements Classification tool Combustible gas Decision making process Dissolved Gas Analysis Electrical stress Field testing Gas Rates Generation rate Paper insulation Partial discharge activity Partial discharge measurements Predictive maintenance Total Dissolved Combustible Gas Partial discharges Power transformer consists of components which are under consistent thermal and electrical stresses. The major component which degrades under these stresses is the paper insulation of power transformer. The degradation is accelerated by the existence of partial discharge in the transformer. The partial discharge activity in the transformer will generate gasses such as Hydrogen (H 2) and Methane (CH 4). According to IEC 60599, hydrogen may be produced by other ways than PD itself. The current predictive maintenance methodology practiced by utility that could detect partia discharge in the transformer is the dissolved gas analysis (DGA). Hydrogen is the main gas used for decision making process. In this project, acoustic partial discharge measurement technique was used together with the monthly generation rates of hydrogen and methane in proportion to Total Dissolved Combustible Gas (TDCG) method was used to identify the PD occurrence in power transformer. In this paper, a field testing was done on 120 transformers to verify the proposed method by using classification tool such as Self Organizing Map (SOM). The monthly generation rates of hydrogen and methane in proportion to TDCG method serves as useful information in identifying the partial discharge occurrence in power transformer. The correlation between the monthly generation rates of hydrogen and methane in proportion to TDCG and PD activities has been established by using SOM. As a result, the SOM gave two regions which represents the "with PD" and "no PD" region. This result has been confirmed by doing acoustic PD measurements. � 2009 WASET.ORG. Final 2023-12-29T07:55:04Z 2023-12-29T07:55:04Z 2009 Article 2-s2.0-78651564811 https://www.scopus.com/inward/record.uri?eid=2-s2.0-78651564811&partnerID=40&md5=365b886e7d1d23dc204a15c411aeb58e https://irepository.uniten.edu.my/handle/123456789/30872 38 1239 1244 Scopus |
institution |
Universiti Tenaga Nasional |
building |
UNITEN Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Tenaga Nasional |
content_source |
UNITEN Institutional Repository |
url_provider |
http://dspace.uniten.edu.my/ |
topic |
Dissolved Gas Analysis Gas Rates Hydrogen Partial Discharge Total Dissolved Combustible Gas Acoustics Discharge (fluid mechanics) Dissolution Electric instrument transformers Electric transformer insulation Electric transformer testing Gas chromatography Gases Hydrogen Hydrogen production Methane Power transformers Self organizing maps Strength of materials Transformer substations Acoustic PD measurements Classification tool Combustible gas Decision making process Dissolved Gas Analysis Electrical stress Field testing Gas Rates Generation rate Paper insulation Partial discharge activity Partial discharge measurements Predictive maintenance Total Dissolved Combustible Gas Partial discharges |
spellingShingle |
Dissolved Gas Analysis Gas Rates Hydrogen Partial Discharge Total Dissolved Combustible Gas Acoustics Discharge (fluid mechanics) Dissolution Electric instrument transformers Electric transformer insulation Electric transformer testing Gas chromatography Gases Hydrogen Hydrogen production Methane Power transformers Self organizing maps Strength of materials Transformer substations Acoustic PD measurements Classification tool Combustible gas Decision making process Dissolved Gas Analysis Electrical stress Field testing Gas Rates Generation rate Paper insulation Partial discharge activity Partial discharge measurements Predictive maintenance Total Dissolved Combustible Gas Partial discharges Samsudinl R. Sk T. Ramli A.Q. Correlation of partial discharge occurrence in power transformer by using self organizing map, acoustic partial discharge and DGA |
description |
Power transformer consists of components which are under consistent thermal and electrical stresses. The major component which degrades under these stresses is the paper insulation of power transformer. The degradation is accelerated by the existence of partial discharge in the transformer. The partial discharge activity in the transformer will generate gasses such as Hydrogen (H 2) and Methane (CH 4). According to IEC 60599, hydrogen may be produced by other ways than PD itself. The current predictive maintenance methodology practiced by utility that could detect partia discharge in the transformer is the dissolved gas analysis (DGA). Hydrogen is the main gas used for decision making process. In this project, acoustic partial discharge measurement technique was used together with the monthly generation rates of hydrogen and methane in proportion to Total Dissolved Combustible Gas (TDCG) method was used to identify the PD occurrence in power transformer. In this paper, a field testing was done on 120 transformers to verify the proposed method by using classification tool such as Self Organizing Map (SOM). The monthly generation rates of hydrogen and methane in proportion to TDCG method serves as useful information in identifying the partial discharge occurrence in power transformer. The correlation between the monthly generation rates of hydrogen and methane in proportion to TDCG and PD activities has been established by using SOM. As a result, the SOM gave two regions which represents the "with PD" and "no PD" region. This result has been confirmed by doing acoustic PD measurements. � 2009 WASET.ORG. |
author2 |
35410298500 |
author_facet |
35410298500 Samsudinl R. Sk T. Ramli A.Q. |
format |
Article |
author |
Samsudinl R. Sk T. Ramli A.Q. |
author_sort |
Samsudinl R. |
title |
Correlation of partial discharge occurrence in power transformer by using self organizing map, acoustic partial discharge and DGA |
title_short |
Correlation of partial discharge occurrence in power transformer by using self organizing map, acoustic partial discharge and DGA |
title_full |
Correlation of partial discharge occurrence in power transformer by using self organizing map, acoustic partial discharge and DGA |
title_fullStr |
Correlation of partial discharge occurrence in power transformer by using self organizing map, acoustic partial discharge and DGA |
title_full_unstemmed |
Correlation of partial discharge occurrence in power transformer by using self organizing map, acoustic partial discharge and DGA |
title_sort |
correlation of partial discharge occurrence in power transformer by using self organizing map, acoustic partial discharge and dga |
publishDate |
2023 |
_version_ |
1806425867505631232 |