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Quantitative Analysis of Surface Partial Discharges through Radio Frequency and Ultraviolet Signal Measurements

Author

Listed:
  • Michał Kozioł

    (Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, Poland)

  • Łukasz Nagi

    (Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, Poland)

  • Tomasz Boczar

    (Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, Poland)

  • Zbigniew Nadolny

    (Institute of Electrical Power Engineering, Poznan University of Technology, 60-965 Poznań, Poland)

Abstract

In high voltage insulation systems, dielectric materials may be exposed to partial discharges (PD), which can lead to equipment failures and safety hazards. Therefore, it is crucial to detect and characterize PD activity on the surface of insulation systems. Techniques such as radio frequency signal analysis and ultraviolet radiation emission detection are commonly used for this purpose. In this research study, an analysis was conducted on the signals emitted by surface PD in the radio frequency and ultraviolet radiation emission ranges. The goal was to indicate possible directions for further basic research aimed at building a knowledge base and improving measurement methods. The analysis confirmed that radio frequency and ultraviolet signal analysis can provide important information about the activity and location of PD on the surface, including the intensity and nature of PD. The experimental investigation presented in this paper provides valuable insights into the potential for using radio frequency and ultraviolet signals to enhance diagnostic techniques for monitoring the condition of insulation systems in high-voltage equipment.

Suggested Citation

  • Michał Kozioł & Łukasz Nagi & Tomasz Boczar & Zbigniew Nadolny, 2023. "Quantitative Analysis of Surface Partial Discharges through Radio Frequency and Ultraviolet Signal Measurements," Energies, MDPI, vol. 16(9), pages 1-15, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:9:p:3641-:d:1131209
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    References listed on IDEAS

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    1. Stefan Tenbohlen & Chandra Prakash Beura & Wojciech Sikorski & Ricardo Albarracín Sánchez & Bruno Albuquerque de Castro & Michael Beltle & Pascal Fehlmann & Martin Judd & Falk Werner & Martin Siegel, 2023. "Frequency Range of UHF PD Measurements in Power Transformers," Energies, MDPI, vol. 16(3), pages 1-21, January.
    2. Sinda Kaziz & Mohamed Hadj Said & Antonino Imburgia & Bilel Maamer & Denis Flandre & Pietro Romano & Fares Tounsi, 2023. "Radiometric Partial Discharge Detection: A Review," Energies, MDPI, vol. 16(4), pages 1-33, February.
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    Cited by:

    1. Marek Florkowski & Maciej Kuniewski, 2023. "Partial Discharge-Originated Deterioration of Insulating Material Investigated by Surface-Resistance and Potential Mapping," Energies, MDPI, vol. 16(16), pages 1-17, August.
    2. Zbigniew Nadolny, 2023. "Design and Optimization of Power Transformer Diagnostics," Energies, MDPI, vol. 16(18), pages 1-7, September.

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