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Is the Dry-Band Characteristic a Function of Pollution and Insulator Design?

Author

Listed:
  • Maurizio Albano

    (School of Engineering, Cardiff University, The Parade, Cardiff CF24 3AA, UK)

  • A. Manu Haddad

    (School of Engineering, Cardiff University, The Parade, Cardiff CF24 3AA, UK)

  • Nathan Bungay

    (School of Engineering, Cardiff University, The Parade, Cardiff CF24 3AA, UK)

Abstract

This paper assesses the dry-band formation and location during artificial pollution tests performed on a 4-shed 11kV insulator with conventional and textured surface designs in a clean-fog chamber and with the application of a voltage ramp-shape source. The different designs present the same overall geometrical dimensions, but the textured ones are characterized by the application of a patented insulator surface design. Three pollution levels, extremely high, high and moderate, were considered. A newly developed MATLAB procedure is able to automatically recognize the perimeter of the insulator, the trunk and shed areas on infra-red recordings. In addition, using the vertical axis identification, all trunks are subdivided into zones and into left and right areas, significantly increasing the capability of abnormalities detection. Any temperature increase within these areas enables to detect the appearance and the extension of dry bands. The results of the analysis of the statistical location and extension development over time of the dry bands during these set of comparative tests show a clear distinction between designs and pollution levels. These results may offer interesting design guidelines for dry-band control.

Suggested Citation

  • Maurizio Albano & A. Manu Haddad & Nathan Bungay, 2019. "Is the Dry-Band Characteristic a Function of Pollution and Insulator Design?," Energies, MDPI, vol. 12(19), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:19:p:3607-:d:269370
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    References listed on IDEAS

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    1. Arshad & Muhammad Ali Mughal & Azam Nekahi & Mansoor Khan & Farhana Umer, 2018. "Influence of Single and Multiple Dry Bands on Critical Flashover Voltage of Silicone Rubber Outdoor Insulators: Simulation and Experimental Study," Energies, MDPI, vol. 11(6), pages 1-17, May.
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    Cited by:

    1. Da Zhang & Shuailin Chen, 2020. "Intelligent Recognition of Insulator Contamination Grade Based on the Deep Learning of Ultraviolet Discharge Image Information," Energies, MDPI, vol. 13(19), pages 1-16, October.
    2. Ioannis F. Gonos & Issouf Fofana, 2020. "Special Issue “Selected Papers from the 2018 IEEE International Conference on High Voltage Engineering (ICHVE 2018)”," Energies, MDPI, vol. 13(18), pages 1-5, September.
    3. Da Zhang & Fancui Meng, 2019. "Research on the Interrelation between Temperature Distribution and Dry Band on Wet Contaminated Insulators," Energies, MDPI, vol. 12(22), pages 1-14, November.

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