UHF Measurement in Power Transformers: An Algorithm to Optimize Accuracy of Arrival Time Detection and PD Localization
Partial discharges (PDs) are among the various indicators that are utilized for monitoring of power transformers. PDs emit electromagnetic waves that can be received by inserting ultrahigh frequency probes inside the transformer tank, thus an advantage of this method is its higher robustness against...
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| Published in | IEEE transactions on power delivery Vol. 34; no. 4; pp. 1530 - 1539 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.08.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0885-8977 1937-4208 |
| DOI | 10.1109/TPWRD.2019.2909706 |
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| Abstract | Partial discharges (PDs) are among the various indicators that are utilized for monitoring of power transformers. PDs emit electromagnetic waves that can be received by inserting ultrahigh frequency probes inside the transformer tank, thus an advantage of this method is its higher robustness against external noises. In this contribution, an algorithm is proposed to localize PDs in power transformers by capturing and analyzing multiple signal sets. Detecting exact arrival times (ATs) of a signal set is a challenging task in the PD localization. Different AT detection methods are applied to several signal sets to compare their effectiveness. Furthermore, modifications are introduced to enhance the precision of the AT detection. A fraction of the analyzed signal sets provide acceptable coordinates for the PD location. The localization algorithm consists of two approaches including wavelet denoising and AT sequence determination to eliminate PD coordinates that lie significantly far from the real location of the PD. The rest of the PD coordinates are then divided into two sections using a clustering method, and the center of the favorable cluster yields the definite PD coordinates. Precision of the PD localization algorithm is validated by three measurements inside a specially designed transformer tank. |
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| AbstractList | Partial discharges (PDs) are among the various indicators that are utilized for monitoring of power transformers. PDs emit electromagnetic waves that can be received by inserting ultrahigh frequency probes inside the transformer tank, thus an advantage of this method is its higher robustness against external noises. In this contribution, an algorithm is proposed to localize PDs in power transformers by capturing and analyzing multiple signal sets. Detecting exact arrival times (ATs) of a signal set is a challenging task in the PD localization. Different AT detection methods are applied to several signal sets to compare their effectiveness. Furthermore, modifications are introduced to enhance the precision of the AT detection. A fraction of the analyzed signal sets provide acceptable coordinates for the PD location. The localization algorithm consists of two approaches including wavelet denoising and AT sequence determination to eliminate PD coordinates that lie significantly far from the real location of the PD. The rest of the PD coordinates are then divided into two sections using a clustering method, and the center of the favorable cluster yields the definite PD coordinates. Precision of the PD localization algorithm is validated by three measurements inside a specially designed transformer tank. |
| Author | Ariannik, Mohamadreza Azirani, Asghar Akbari Werle, Peter Azirani, Mohammad Akbari |
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| References | ref13 ref12 ref15 jahangir (ref21) 0 hou (ref10) 2013; 28 ref14 ref11 chakravorti (ref17) 2013 ref2 ref1 ref18 song (ref20) 0 herold (ref19) 0 ref24 ref23 ref26 ref25 blackburn (ref7) 2014; 8 ariannik (ref22) 0 ref28 bennoch (ref27) 0 yang (ref16) 0 ref29 (ref8) 2015 ref9 ref4 ref3 ref6 ref5 |
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| SubjectTerms | Algorithms arrival time Clustering Electromagnetic radiation Localization Noise reduction Oil insulation Partial discharges Power transformer insulation Probes Transformers Transmission line measurements UHF UHF measurements Ultrahigh frequencies Wavelet analysis wavelet denoising |
| Title | UHF Measurement in Power Transformers: An Algorithm to Optimize Accuracy of Arrival Time Detection and PD Localization |
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