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Frequency Resolved Partial Discharges Based on Spectral Pulse Counting

Author

Listed:
  • Anderson J. C. Sena

    (Electrical Engineering Graduate Program (PPGEE), Federal University of Pará, Belém 66075-110, Brazil
    These authors contributed equally to this work.)

  • Rodrigo M. S. de Oliveira

    (Electrical Engineering Graduate Program (PPGEE), Federal University of Pará, Belém 66075-110, Brazil
    These authors contributed equally to this work.)

  • Júlio A. S. do Nascimento

    (Electrical Engineering Graduate Program (PPGEE), Federal University of Pará, Belém 66075-110, Brazil
    Eletrobras Eletronorte, Rodovia Arthur Bernardes 2175, Belém 66115-000, Brazil
    These authors contributed equally to this work.)

Abstract

A partial discharge (PD) classification methodology based counting PD pulses in the spectral domain is proposed and presented in this paper. The spectral counting data are processed using the proposed PD Spectral Pulse Counting Mapping technique (PD-SPCM), which leads to a Frequency-Resolved Partial Discharges (FRPD) map. The proposed map is then used for PD detection and classification. In this work, corona and slot FRPDs are presented in frequency bands up to 500 MHz, obtained from laboratory measurements performed using two hydro-generator stator bars. The electromagnetic signals from the PDs were captured using a patch antenna designed for this purpose and a spectral analyzer. The corona and slot PDs were chosen because one can be mistakenly classified as the other because they may present similar Phase Resolved PD (PRPD) maps and may occupy shared spectral bands. Furthermore, corona and slot PDs can occur concurrently. The obtained results show that the corona and slot PDs can be properly identified using the developed methodology, even when they occur simultaneously. This is possible because, as it is experimentally demonstrated, corona and slot PDs have appreciable levels of spectral pulse counting in particular bands of the frequency spectrum.

Suggested Citation

  • Anderson J. C. Sena & Rodrigo M. S. de Oliveira & Júlio A. S. do Nascimento, 2021. "Frequency Resolved Partial Discharges Based on Spectral Pulse Counting," Energies, MDPI, vol. 14(21), pages 1-36, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:6864-:d:660320
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    References listed on IDEAS

    as
    1. Ramon C. F. Araújo & Rodrigo M. S. de Oliveira & Fernando S. Brasil & Fabrício J. B. Barros, 2021. "Novel Features and PRPD Image Denoising Method for Improved Single-Source Partial Discharges Classification in On-Line Hydro-Generators," Energies, MDPI, vol. 14(11), pages 1-33, June.
    2. Yuanlin Luo & Zhaohui Li & Hong Wang, 2017. "A Review of Online Partial Discharge Measurement of Large Generators," Energies, MDPI, vol. 10(11), pages 1-32, October.
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