Design parameter based method of partial discharge detection and location in power transformers
Insulation defect detection in time ensures higher operational reliability of power system assets. Power transformers are the most critical unit of power systems both from economical and operational front. Hence it becomes necessary to have knowledge of the actual insulation condition of transformer...
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Faculty of Technical Sciences in Cacak
2009-01-01
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doaj-0c8b8e5ad7024370b05c2cb7e4c2f9432020-11-24T23:42:43ZengFaculty of Technical Sciences in CacakSerbian Journal of Electrical Engineering1451-48692217-71832009-01-016225326510.2298/SJEE0902253K1451-48690902253KDesign parameter based method of partial discharge detection and location in power transformersKumar Santosh Annadurai0Gupta Prakash Ram1Venkatasami Athikkan2Udayakumar Kodhandaraman3CMDRC, CG Global R&D Centre, Crompton Greaves Ltd., Kanjur Marg (E), Mumbai, India%SR92-01.57istaistaistaInsulation defect detection in time ensures higher operational reliability of power system assets. Power transformers are the most critical unit of power systems both from economical and operational front. Hence it becomes necessary to have knowledge of the actual insulation condition of transformer to increase dependability of the system. The performance and ageing of the transformer insulation is mainly affected by Partial discharges (PD). Proper diagnosis in terms of amplitude and location of partial discharge in a power transformer enables us to predict well in advance, with much confidence, the defect in insulation system, which avoids large catastrophic failures. In this work a 20kVA, 230/50kV single phase core type transformer is used for evaluation of the transfer function-based partial discharge detection and location using modeling of the winding, using design data. The simulation of capturing on-line PD pulses across the bushing tap capacitor is done for various tap positions. Standard PD source model is used to inject PD pulse signal at 10 tap locations in the winding and corresponding response signatures are captured at the bushing tap end (across 1000pF). The equivalent high frequency model of the winding is derived from the design parameters using analytical calculations and simulations in packages such as MAGNET and ANSOFT. The test conditions are simulated using ORCAD-9 and the results are evaluated for location accuracy using design parameter based PD monitoring method. .http://www.doiserbia.nb.rs/img/doi/1451-4869/2009/1451-48690902253K.pdfpower transformerspartial discharge detectioninsulation defectdetectiondesign parameters |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kumar Santosh Annadurai Gupta Prakash Ram Venkatasami Athikkan Udayakumar Kodhandaraman |
spellingShingle |
Kumar Santosh Annadurai Gupta Prakash Ram Venkatasami Athikkan Udayakumar Kodhandaraman Design parameter based method of partial discharge detection and location in power transformers Serbian Journal of Electrical Engineering power transformers partial discharge detection insulation defectdetection design parameters |
author_facet |
Kumar Santosh Annadurai Gupta Prakash Ram Venkatasami Athikkan Udayakumar Kodhandaraman |
author_sort |
Kumar Santosh Annadurai |
title |
Design parameter based method of partial discharge detection and location in power transformers |
title_short |
Design parameter based method of partial discharge detection and location in power transformers |
title_full |
Design parameter based method of partial discharge detection and location in power transformers |
title_fullStr |
Design parameter based method of partial discharge detection and location in power transformers |
title_full_unstemmed |
Design parameter based method of partial discharge detection and location in power transformers |
title_sort |
design parameter based method of partial discharge detection and location in power transformers |
publisher |
Faculty of Technical Sciences in Cacak |
series |
Serbian Journal of Electrical Engineering |
issn |
1451-4869 2217-7183 |
publishDate |
2009-01-01 |
description |
Insulation defect detection in time ensures higher operational reliability of power system assets. Power transformers are the most critical unit of power systems both from economical and operational front. Hence it becomes necessary to have knowledge of the actual insulation condition of transformer to increase dependability of the system. The performance and ageing of the transformer insulation is mainly affected by Partial discharges (PD). Proper diagnosis in terms of amplitude and location of partial discharge in a power transformer enables us to predict well in advance, with much confidence, the defect in insulation system, which avoids large catastrophic failures. In this work a 20kVA, 230/50kV single phase core type transformer is used for evaluation of the transfer function-based partial discharge detection and location using modeling of the winding, using design data. The simulation of capturing on-line PD pulses across the bushing tap capacitor is done for various tap positions. Standard PD source model is used to inject PD pulse signal at 10 tap locations in the winding and corresponding response signatures are captured at the bushing tap end (across 1000pF). The equivalent high frequency model of the winding is derived from the design parameters using analytical calculations and simulations in packages such as MAGNET and ANSOFT. The test conditions are simulated using ORCAD-9 and the results are evaluated for location accuracy using design parameter based PD monitoring method. . |
topic |
power transformers partial discharge detection insulation defectdetection design parameters |
url |
http://www.doiserbia.nb.rs/img/doi/1451-4869/2009/1451-48690902253K.pdf |
work_keys_str_mv |
AT kumarsantoshannadurai designparameterbasedmethodofpartialdischargedetectionandlocationinpowertransformers AT guptaprakashram designparameterbasedmethodofpartialdischargedetectionandlocationinpowertransformers AT venkatasamiathikkan designparameterbasedmethodofpartialdischargedetectionandlocationinpowertransformers AT udayakumarkodhandaraman designparameterbasedmethodofpartialdischargedetectionandlocationinpowertransformers |
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1725503342902247424 |