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research article

Partial discharge localization in power transformers using acoustic time reversal

Karami, Hamidreza  
•
Aviolat, Florent Quentin  
•
Azadifar, Mohammad
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2022
Electric Power Systems Research

The localization of partial discharges (PD) is important to monitor the conditioning of high voltage insulator materials. One of the key components in power grids is the high power transformer. Localization of PDs in these pieces of equipment can increase the reliability of power networks. One of the most commonly used methods to localize PDs is the time difference of arrival (TDoA) technique. Recently, time reversal (TR) techniques in the electromagnetic regime have been proposed to localize PD sources with a lower number of needed sensors compared to the TDoA technique. Contrary to TDoA, TR-based techniques do not need line-of-sight wave propagation from PD sources to the sensor(s). In this study, we extend the TR technique to localize PD sources in the acoustic regime for three-dimensional structures. Similar to the electromagnetic TR methods, a typical time reversal process includes three steps: 1) record the acoustic fields caused by a PD source using at least one sensor, 2) time reverse and back inject into the medium the recorded acoustic signal(s), 3) use a proper criterion to obtain the focusing point associated with the location of the PD source. The acoustic TR technique presented in this paper uses only one sensor. Numerical simulations are used to evaluate the performance of the acoustic TR technique for three-dimensional power transformer models. To do this, an open source MATLAB toolbox is used to solve the acoustic wave equation. The numerical results show that the TR technique can accurately localize the PD sources in three-dimensional power transformer models. Our analysis shows that the presence of windings inside the transformer tank does not degrade the efficiency of the acoustic TR technique.

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Type
research article
DOI
10.1016/j.epsr.2022.107801
Author(s)
Karami, Hamidreza  
Aviolat, Florent Quentin  
Azadifar, Mohammad
Rubinstein, Marcos
Rachidi, Farhad  
Date Issued

2022

Publisher

Elsevier

Published in
Electric Power Systems Research
Volume

206

Article Number

107801

Subjects

Time-reversal cavity

•

power transformers

•

power transformer monitoring

•

partial discharges

•

acoustic wave equation

•

acoustic time reversal

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SCI-STI-FR  
Available on Infoscience
February 7, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/185201
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