A Comprehensive Analysis of Windings Electrical and Mechanical Faults Using a High-Frequency Model

The measurement procedures for frequency response analysis (FRA) of power transformers are well documented in IEC and IEEE standards. However, the interpretation of FRA results is still far from reaching an accepted methodology and is limited to the analysis of the experts. The dilemma is that there...

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Main Authors: Mehran Tahir, Stefan Tenbohlen
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/1/105
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author Mehran Tahir
Stefan Tenbohlen
author_facet Mehran Tahir
Stefan Tenbohlen
author_sort Mehran Tahir
collection DOAJ
description The measurement procedures for frequency response analysis (FRA) of power transformers are well documented in IEC and IEEE standards. However, the interpretation of FRA results is still far from reaching an accepted methodology and is limited to the analysis of the experts. The dilemma is that there are limited case studies available to understand the effect of different faults. Additionally, due to the destructive nature, it is not possible to apply the real mechanical deformations in the transformer windings to obtain the data. To solve these issues, in this contribution, the physical geometry of a three-phase transformer is simulated using 3D finite integration analysis to emulate the real transformer operation. The novelty of this model is that FRA traces are directly obtained from the 3D model of windings without estimating and solving lumped parameter circuit models. At first, the method is validated with a simple experimental setup. Afterwards, different mechanical and electrical faults are simulated, and their effects on FRA are discussed objectively. A key contribution of this paper is the winding assessment factor it introduces based on the standard deviation of difference (SDD) to detect and classify different electrical and mechanical faults. The results reveal that the proposed model provides the ability of precise and accurate fault simulation. By using SDD, different deviation patterns can be characterized for different faults, which makes fault classification possible. Thus, it provides a way forward towards the establishment of the standard algorithm for a reliable and automatic assessment of transformer FRA results.
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spelling doaj.art-e5fa80d3708548d789746d7378e7356c2022-12-22T04:28:15ZengMDPI AGEnergies1996-10732019-12-0113110510.3390/en13010105en13010105A Comprehensive Analysis of Windings Electrical and Mechanical Faults Using a High-Frequency ModelMehran Tahir0Stefan Tenbohlen1Institute of Power Transmission and High Voltage Technology (IEH), Stuttgart University, Pfaffenwaldring 47, 70569 Stuttgart, GermanyInstitute of Power Transmission and High Voltage Technology (IEH), Stuttgart University, Pfaffenwaldring 47, 70569 Stuttgart, GermanyThe measurement procedures for frequency response analysis (FRA) of power transformers are well documented in IEC and IEEE standards. However, the interpretation of FRA results is still far from reaching an accepted methodology and is limited to the analysis of the experts. The dilemma is that there are limited case studies available to understand the effect of different faults. Additionally, due to the destructive nature, it is not possible to apply the real mechanical deformations in the transformer windings to obtain the data. To solve these issues, in this contribution, the physical geometry of a three-phase transformer is simulated using 3D finite integration analysis to emulate the real transformer operation. The novelty of this model is that FRA traces are directly obtained from the 3D model of windings without estimating and solving lumped parameter circuit models. At first, the method is validated with a simple experimental setup. Afterwards, different mechanical and electrical faults are simulated, and their effects on FRA are discussed objectively. A key contribution of this paper is the winding assessment factor it introduces based on the standard deviation of difference (SDD) to detect and classify different electrical and mechanical faults. The results reveal that the proposed model provides the ability of precise and accurate fault simulation. By using SDD, different deviation patterns can be characterized for different faults, which makes fault classification possible. Thus, it provides a way forward towards the establishment of the standard algorithm for a reliable and automatic assessment of transformer FRA results.https://www.mdpi.com/1996-1073/13/1/105frequency response analysis (fra)power transformerfault diagnosisfinite integration technique (fit)high-frequency transformer modelling
spellingShingle Mehran Tahir
Stefan Tenbohlen
A Comprehensive Analysis of Windings Electrical and Mechanical Faults Using a High-Frequency Model
Energies
frequency response analysis (fra)
power transformer
fault diagnosis
finite integration technique (fit)
high-frequency transformer modelling
title A Comprehensive Analysis of Windings Electrical and Mechanical Faults Using a High-Frequency Model
title_full A Comprehensive Analysis of Windings Electrical and Mechanical Faults Using a High-Frequency Model
title_fullStr A Comprehensive Analysis of Windings Electrical and Mechanical Faults Using a High-Frequency Model
title_full_unstemmed A Comprehensive Analysis of Windings Electrical and Mechanical Faults Using a High-Frequency Model
title_short A Comprehensive Analysis of Windings Electrical and Mechanical Faults Using a High-Frequency Model
title_sort comprehensive analysis of windings electrical and mechanical faults using a high frequency model
topic frequency response analysis (fra)
power transformer
fault diagnosis
finite integration technique (fit)
high-frequency transformer modelling
url https://www.mdpi.com/1996-1073/13/1/105
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