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Image Characteristic Extraction of Ice-Covered Outdoor Insulator for Monitoring Icing Degree

Author

Listed:
  • Yong Liu

    (School of Electrical and Information Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China)

  • Qiran Li

    (School of Electrical and Information Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China)

  • Masoud Farzaneh

    (Department of Applied Sciences, Université du Québec à Chicoutimi, Chicoutimi, QC G7H2B1, Canada)

  • B. X. Du

    (School of Electrical and Information Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China)

Abstract

Serious ice accretion will cause structural problems and ice flashover accidents, which result in outdoor insulator string operating problems in winter conditions. Previous investigations have revealed that the thicker and longer insulators are covered with ice, the icing degree becomes worse and icing accident probability increases. Therefore, an image processing method was proposed to extract the characteristics of the icicle length and Rg (ratio of the air gap length to the insulator length) of ice-covered insulators for monitoring the operation of iced outdoor insulator strings. The tests were conducted at the artificial climate room of CIGELE Laboratories recommended by IEEE Standard 1783/2009. The surface phenomena of the insulator during the ice accretion process were recorded by using a high-speed video camera. In the view of the ice in the background of the picture of fuzzy features and high image noise, a direct equalization algorithm is used to enhance the grayscale iced image contrast. The median filtering method is conducted for reducing image noise and sharpening the image edge. The maximum entropy threshold segmentation algorithm is put forward to extract the insulators and its surface ice from the background. Then, the modified Canny operator edge detection algorithm is selected to trace the boundaries of objects through the extraction of information about attributes of the endpoints of edges. After we obtained the improved Canny edge detection image for both of the ice-covered insulators and non-iced insulators, the icing thickness can be obtained by calculating the difference between the edge of the non-iced insulators image and the edge of the iced insulator image. Besides, in order to identify the icing degree of the insulators more accurately, this paper determines the location of icicles by using the region growth method. After that, the icicle length and Rg can be obtained to monitor the icing degree of the insulator. It will be helpful to improve the ability to judge the accident risk of insulators in power systems.

Suggested Citation

  • Yong Liu & Qiran Li & Masoud Farzaneh & B. X. Du, 2020. "Image Characteristic Extraction of Ice-Covered Outdoor Insulator for Monitoring Icing Degree," Energies, MDPI, vol. 13(20), pages 1-12, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5305-:d:426767
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    References listed on IDEAS

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    1. Yanpeng Hao & Jie Wei & Xiaolan Jiang & Lin Yang & Licheng Li & Junke Wang & Hao Li & Ruihai Li, 2018. "Icing Condition Assessment of In-Service Glass Insulators Based on Graphical Shed Spacing and Graphical Shed Overhang," Energies, MDPI, vol. 11(2), pages 1-12, February.
    2. Bingke Yan & Bo Wang & Lin Zhu & Hesen Liu & Yilu Liu & Xingpei Ji & Dichen Liu, 2015. "A Novel, Stable, and Economic Power Sharing Scheme for an Autonomous Microgrid in the Energy Internet," Energies, MDPI, vol. 8(11), pages 1-24, November.
    3. Ying-Yi Hong & Yan-Hung Wei & Yung-Ruei Chang & Yih-Der Lee & Pang-Wei Liu, 2014. "Fault Detection and Location by Static Switches in Microgrids Using Wavelet Transform and Adaptive Network-Based Fuzzy Inference System," Energies, MDPI, vol. 7(4), pages 1-18, April.
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    Citations

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    Cited by:

    1. Lianming Li & Zhiwei Wang & Defeng He, 2024. "U-Net Semantic Segmentation-Based Calorific Value Estimation of Straw Multifuels for Combined Heat and Power Generation Processes," Energies, MDPI, vol. 17(20), pages 1-16, October.
    2. Jiazheng Lu & Jianping Hu & Zhen Fang & Xinhan Qiao & Zhijin Zhang, 2021. "Electric Field Distribution and AC Breakdown Characteristics of Polluted Novel Lightning Protection Insulator under Icing Conditions," Energies, MDPI, vol. 14(22), pages 1-11, November.
    3. Issouf Fofana & Stephan Brettschneider, 2022. "Outdoor Insulation and Gas-Insulated Switchgears," Energies, MDPI, vol. 15(21), pages 1-7, November.
    4. Ivan Kabardin & Sergey Dvoynishnikov & Maxim Gordienko & Sergey Kakaulin & Vadim Ledovsky & Grigoriy Gusev & Vladislav Zuev & Valery Okulov, 2021. "Optical Methods for Measuring Icing of Wind Turbine Blades," Energies, MDPI, vol. 14(20), pages 1-14, October.
    5. Valery Okulov & Ivan Kabardin & Dmitry Mukhin & Konstantin Stepanov & Nastasia Okulova, 2021. "Physical De-Icing Techniques for Wind Turbine Blades," Energies, MDPI, vol. 14(20), pages 1-16, October.

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