Performance Evaluation of On-Line Transformer Winding Short Circuit Fault Detection Based on Instantaneous Voltage and Current Measurements
This paper investigates the performance of a recently proposed on-line transformer winding short circuit fault detection approach through detailed nonlinear three-dimensional finite element modelling of windings, magnetic core and transformer tank. The technique considers correlation of instantaneou...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/5156 |
| _version_ | 1848744717178634240 |
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| author | Masoum, A. Hashemnia, Seyednaser Abu-Siada, Ahmed Masoum, Mohammad Sherkat Islam, Syed |
| author2 | IEEE PES Executive Office |
| author_facet | IEEE PES Executive Office Masoum, A. Hashemnia, Seyednaser Abu-Siada, Ahmed Masoum, Mohammad Sherkat Islam, Syed |
| author_sort | Masoum, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper investigates the performance of a recently proposed on-line transformer winding short circuit fault detection approach through detailed nonlinear three-dimensional finite element modelling of windings, magnetic core and transformer tank. The technique considers correlation of instantaneous input and output voltage difference Δ V=(v1(t)-v2(t)) and instantaneous input current I=i(t) at the power frequency as a fingerprint of the transformer. The on-line measured ΔV-I locus of healthy and faulty transformer are compared to detect the internal fault. A detailed three-dimensional finite element transformer models based on the physical dimensions, parameters and magnetic core characteristics are developed and used to emulate internal winding short circuit faults and calculate the corresponding transformer ΔV-I locus. Detailed simulations and some laboratory measurements are performed and analysed to investigate the impact of winding short circuit faults on the on-line transformer ΔV-I locus. |
| first_indexed | 2025-11-14T06:05:54Z |
| format | Conference Paper |
| id | curtin-20.500.11937-5156 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:05:54Z |
| publishDate | 2014 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-51562017-09-13T16:04:15Z Performance Evaluation of On-Line Transformer Winding Short Circuit Fault Detection Based on Instantaneous Voltage and Current Measurements Masoum, A. Hashemnia, Seyednaser Abu-Siada, Ahmed Masoum, Mohammad Sherkat Islam, Syed IEEE PES Executive Office winding short circuit FRA and finite-element on-line fault detection Transformer This paper investigates the performance of a recently proposed on-line transformer winding short circuit fault detection approach through detailed nonlinear three-dimensional finite element modelling of windings, magnetic core and transformer tank. The technique considers correlation of instantaneous input and output voltage difference Δ V=(v1(t)-v2(t)) and instantaneous input current I=i(t) at the power frequency as a fingerprint of the transformer. The on-line measured ΔV-I locus of healthy and faulty transformer are compared to detect the internal fault. A detailed three-dimensional finite element transformer models based on the physical dimensions, parameters and magnetic core characteristics are developed and used to emulate internal winding short circuit faults and calculate the corresponding transformer ΔV-I locus. Detailed simulations and some laboratory measurements are performed and analysed to investigate the impact of winding short circuit faults on the on-line transformer ΔV-I locus. 2014 Conference Paper http://hdl.handle.net/20.500.11937/5156 10.1109/PESGM.2014.6939438 IEEE restricted |
| spellingShingle | winding short circuit FRA and finite-element on-line fault detection Transformer Masoum, A. Hashemnia, Seyednaser Abu-Siada, Ahmed Masoum, Mohammad Sherkat Islam, Syed Performance Evaluation of On-Line Transformer Winding Short Circuit Fault Detection Based on Instantaneous Voltage and Current Measurements |
| title | Performance Evaluation of On-Line Transformer Winding Short Circuit Fault Detection Based on Instantaneous Voltage and Current Measurements |
| title_full | Performance Evaluation of On-Line Transformer Winding Short Circuit Fault Detection Based on Instantaneous Voltage and Current Measurements |
| title_fullStr | Performance Evaluation of On-Line Transformer Winding Short Circuit Fault Detection Based on Instantaneous Voltage and Current Measurements |
| title_full_unstemmed | Performance Evaluation of On-Line Transformer Winding Short Circuit Fault Detection Based on Instantaneous Voltage and Current Measurements |
| title_short | Performance Evaluation of On-Line Transformer Winding Short Circuit Fault Detection Based on Instantaneous Voltage and Current Measurements |
| title_sort | performance evaluation of on-line transformer winding short circuit fault detection based on instantaneous voltage and current measurements |
| topic | winding short circuit FRA and finite-element on-line fault detection Transformer |
| url | http://hdl.handle.net/20.500.11937/5156 |