An Inverse-Filter-Based Method to Locate Partial Discharge Sources in Power Transformers

Hamidreza Karami, Farzane Askari, Farhad Rachidi, Marcos Rubinstein and Wojciech Sikorski
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Hamidreza Karami: Ecole Polytechnique Fédérale de Lausanne (EPFL), Electromagnetic Compatibility Laboratory, 1015 Lausanne, Switzerland
Farzane Askari: Department of Electrical Engineering, Technical and Vocational University (TVU), Tehran 1435661137, Iran
Farhad Rachidi: Ecole Polytechnique Fédérale de Lausanne (EPFL), Electromagnetic Compatibility Laboratory, 1015 Lausanne, Switzerland
Marcos Rubinstein: Institute for Information and Communication Technologies, University of Applied Sciences and Arts Western Switzerland (HES-SO), 1401 Yverdon-les-Bains, Switzerland
Wojciech Sikorski: Faculty of Electrical Engineering, Poznan University of Technology, 60-965 Poznan, Poland

Energies, 2022, vol. 15, issue 6, 1-21

Abstract: Partial discharge (PD) occurrence in power transformers can lead to irreparable damage to the power network. In this paper, the inverse filter (IF) method to localize PDs in power transformers is proposed. To the best of the authors’ knowledge, this is the first time that the inverse filter method has been used to localize PD sources in the electromagnetic regime. The method comprises two phases: the forward phase and the backward or backpropagation phase. In the forward phase, the waveform emitted from the PD source is recorded with one or several sensors. In the backward phase, the recorded signal is transformed into the frequency domain, inverted, transformed back into the time domain, and then back injected into the medium. Finally, a suitable criterion is used to localize the PD source. The efficiency of the proposed IF method is assessed considering different scenarios. It is shown that, for the considered configurations, the proposed IF method outperforms the classical time-reversal technique.

Keywords: partial discharge; inverse filter method; electromagnetic regime; source localization; power transformer; deconvolution method; time-reversal method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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