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Investigation of numerical technique to evaluate frequency response analysis (FRA) data measurement of auto power transformer

Power and distribution transformers are expensive and important units in electric power networks. Majority of dielectric and mechanical failures in transformers are due to mechanical displacements in the winding structure. Detection of these winding displacements in advance of a dielectric failure c...

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Main Author: Hashim, Nurul ‘Izzati
Format: Thesis
Language:English
English
Published: 2013
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
Online Access:http://eprints.uthm.edu.my/6735/1/24p%20NURUL%20%E2%80%98IZZATI%20HASHIM.pdf
http://eprints.uthm.edu.my/6735/2/NURUL%20%E2%80%98IZZATI%20HASHIM%20WATERMARK.pdf
http://eprints.uthm.edu.my/6735/
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spelling my.uthm.eprints.67352022-03-15T02:41:05Z http://eprints.uthm.edu.my/6735/ Investigation of numerical technique to evaluate frequency response analysis (FRA) data measurement of auto power transformer Hashim, Nurul ‘Izzati TK Electrical engineering. Electronics Nuclear engineering TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers Power and distribution transformers are expensive and important units in electric power networks. Majority of dielectric and mechanical failures in transformers are due to mechanical displacements in the winding structure. Detection of these winding displacements in advance of a dielectric failure can reduce unplanned maintenance costs and provide the possibility to improve system reliability by preventing outages and breakdowns. Frequency Response Analysis (FRA) is a powerful and sensitive diagnostic test technique to evaluate transformer winding displacements by measuring their electrical transfer functions over a wide frequency range. In the past, it has really required trained experts to interpret the FRA test results in a subjective manner to make a judgement as whether the amount of agreement or disagreement between the two or more sets of FRA measurements is significant enough for further testing and inspection of the transformer. Therefore, a quite number of numerical techniques have been proposed to analyze the FRA data such as Standard Deviation (SD), Absolute Sum of Logarithmic Error (ASLE), Correlation Coefficient (CC), and others. Several of the numerical techniques were evaluated for its suitability, reliability and sensitivity for different cases of auto power transformer, 1000 MVA, 400/ 275/ 13 kV HV neutral winding terminations and comparison methods. It is concluded that Absolute Sum of Logarithmic Error (ASLE) is more reliable and sensitive. The ASLE technique should included as an analysing technique in any FRA test to get better interpretation and increase opportunities to provide more objective comparison of FRA test results. 2013-06 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/6735/1/24p%20NURUL%20%E2%80%98IZZATI%20HASHIM.pdf text en http://eprints.uthm.edu.my/6735/2/NURUL%20%E2%80%98IZZATI%20HASHIM%20WATERMARK.pdf Hashim, Nurul ‘Izzati (2013) Investigation of numerical technique to evaluate frequency response analysis (FRA) data measurement of auto power transformer. Masters thesis, Universiti Tun Hussein Malaysia.
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers
Hashim, Nurul ‘Izzati
Investigation of numerical technique to evaluate frequency response analysis (FRA) data measurement of auto power transformer
description Power and distribution transformers are expensive and important units in electric power networks. Majority of dielectric and mechanical failures in transformers are due to mechanical displacements in the winding structure. Detection of these winding displacements in advance of a dielectric failure can reduce unplanned maintenance costs and provide the possibility to improve system reliability by preventing outages and breakdowns. Frequency Response Analysis (FRA) is a powerful and sensitive diagnostic test technique to evaluate transformer winding displacements by measuring their electrical transfer functions over a wide frequency range. In the past, it has really required trained experts to interpret the FRA test results in a subjective manner to make a judgement as whether the amount of agreement or disagreement between the two or more sets of FRA measurements is significant enough for further testing and inspection of the transformer. Therefore, a quite number of numerical techniques have been proposed to analyze the FRA data such as Standard Deviation (SD), Absolute Sum of Logarithmic Error (ASLE), Correlation Coefficient (CC), and others. Several of the numerical techniques were evaluated for its suitability, reliability and sensitivity for different cases of auto power transformer, 1000 MVA, 400/ 275/ 13 kV HV neutral winding terminations and comparison methods. It is concluded that Absolute Sum of Logarithmic Error (ASLE) is more reliable and sensitive. The ASLE technique should included as an analysing technique in any FRA test to get better interpretation and increase opportunities to provide more objective comparison of FRA test results.
format Thesis
author Hashim, Nurul ‘Izzati
author_facet Hashim, Nurul ‘Izzati
author_sort Hashim, Nurul ‘Izzati
title Investigation of numerical technique to evaluate frequency response analysis (FRA) data measurement of auto power transformer
title_short Investigation of numerical technique to evaluate frequency response analysis (FRA) data measurement of auto power transformer
title_full Investigation of numerical technique to evaluate frequency response analysis (FRA) data measurement of auto power transformer
title_fullStr Investigation of numerical technique to evaluate frequency response analysis (FRA) data measurement of auto power transformer
title_full_unstemmed Investigation of numerical technique to evaluate frequency response analysis (FRA) data measurement of auto power transformer
title_sort investigation of numerical technique to evaluate frequency response analysis (fra) data measurement of auto power transformer
publishDate 2013
url http://eprints.uthm.edu.my/6735/1/24p%20NURUL%20%E2%80%98IZZATI%20HASHIM.pdf
http://eprints.uthm.edu.my/6735/2/NURUL%20%E2%80%98IZZATI%20HASHIM%20WATERMARK.pdf
http://eprints.uthm.edu.my/6735/
_version_ 1738581528851513344
score 13.211869

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