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

Author

Listed:
  • Hamidreza Karami

    (Ecole Polytechnique Fédérale de Lausanne (EPFL), Electromagnetic Compatibility Laboratory, 1015 Lausanne, Switzerland
    Department of Electrical Engineering, Bu-Ali Sina University, Hamedan 6516738695, Iran)

  • 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)

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.

Suggested Citation

  • Hamidreza Karami & Farzane Askari & Farhad Rachidi & Marcos Rubinstein & Wojciech Sikorski, 2022. "An Inverse-Filter-Based Method to Locate Partial Discharge Sources in Power Transformers," Energies, MDPI, vol. 15(6), pages 1-21, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:1988-:d:767108
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    Citations

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    Cited by:

    1. Daria Wotzka & Wojciech Sikorski & Cyprian Szymczak, 2022. "Investigating the Capability of PD-Type Recognition Based on UHF Signals Recorded with Different Antennas Using Supervised Machine Learning," Energies, MDPI, vol. 15(9), pages 1-20, April.
    2. Krzysztof Walczak, 2023. "Localization of HV Insulation Defects Using a System of Associated Capacitive Sensors," Energies, MDPI, vol. 16(5), pages 1-15, February.

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