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Surface Discharge Analysis of High Voltage Glass Insulators Using Ultraviolet Pulse Voltage

Author

Listed:
  • Saiful Mohammad Iezham Suhaimi

    (Tenaga Nasional Berhad, Tumpat 16250, Kelantan, Malaysia)

  • Nouruddeen Bashir

    (Power Equipment & Electrical Machinery Development Institute (PEEMADI), National Agency for Science and Engineering Infrastructure (NASENI), P.M.B 1029 Okene, Kogi State, Nigeria)

  • Nor Asiah Muhamad

    (School of Electrical and Electronic Engineering, Universiti Sains Malaysia (USM), 14300 Nibong Tebal, Malaysia)

  • Nurun Najah Abdul Rahim

    (School of Electrical and Electronic Engineering, Universiti Sains Malaysia (USM), 14300 Nibong Tebal, Malaysia)

  • Noor Azlinda Ahmad

    (Institute of High Voltage and High Current (IVAT), Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia)

  • Mohd Nazri Abdul Rahman

    (Faculty of Education, University of Malaya, 50603 Kuala Lumpur, Malaysia)

Abstract

Surface discharges are precursors to flashover. To pre-empt the occurrence of flashover incidents, utility companies need to regularly monitor the condition of line insulators. Recent studies have shown that monitoring of UV signals emitted by surface discharges of insulators is a promising technique. In this work, the UV signals’ time and frequency components of a set of contaminated and field-aged insulator under varying contamination levels and degrees of ageing were studied. Experimental result shows that a strong correlation exists between the discharge intensity levels under varying contamination levels and degree of ageing. As the contamination level increases, the discharge level of the insulator samples also intensifies, resulting in the increase of total harmonic distortion and fundamental frequencies. Total harmonic distortion and fundamental frequencies of the UV signals were employed to develop a technique based on artificial neural networks (ANNs) to classify the flashover prediction based on the discharge intensity levels of the insulator samples. The results of the ANN simulation showed 87% accuracy in the performance index. This study illustrates that the UV pulse detection method is a potential tool to monitor insulator surface conditions during service.

Suggested Citation

  • Saiful Mohammad Iezham Suhaimi & Nouruddeen Bashir & Nor Asiah Muhamad & Nurun Najah Abdul Rahim & Noor Azlinda Ahmad & Mohd Nazri Abdul Rahman, 2019. "Surface Discharge Analysis of High Voltage Glass Insulators Using Ultraviolet Pulse Voltage," Energies, MDPI, vol. 12(2), pages 1-26, January.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:2:p:204-:d:196273
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    References listed on IDEAS

    as
    1. Lijun Jin & Da Zhang, 2015. "Contamination Grades Recognition of Ceramic Insulators Using Fused Features of Infrared and Ultraviolet Images," Energies, MDPI, vol. 8(2), pages 1-22, January.
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    Cited by:

    1. Luqman Maraaba & Khaled Al-Soufi & Twaha Ssennoga & Azhar M. Memon & Muhammed Y. Worku & Luai M. Alhems, 2022. "Contamination Level Monitoring Techniques for High-Voltage Insulators: A Review," Energies, MDPI, vol. 15(20), pages 1-32, October.

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