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Research on the Non-Contact Pollution Monitoring Method of Composite Insulator Based on Space Electric Field

Author

Listed:
  • Dongdong Zhang

    (School of Electrical Engineering, Nanjing Institute of Technology, Nanjing 210000, China
    State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400000, China)

  • Hong Xu

    (School of Electrical Engineering, Nanjing Institute of Technology, Nanjing 210000, China)

  • Jin Liu

    (State Grid Zhejiang Ninghai County Power Supply Company, Ningbo 315000, China)

  • Chengshun Yang

    (School of Electrical Engineering, Nanjing Institute of Technology, Nanjing 210000, China)

  • Xiaoning Huang

    (School of Electrical Engineering, Nanjing Institute of Technology, Nanjing 210000, China)

  • Zhijin Zhang

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400000, China)

  • Xingliang Jiang

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400000, China)

Abstract

Through spatial electric field monitoring, it is expected to realize insulator pollution condition monitoring and contamination flashover warning in a non-contact way. Therefore, in this paper, the spatial electric field distribution characteristics of 110 kV composite insulators are simulated, where the effects of different surface states and their discharge levels on the spatial electric field of insulators are analyzed. On this basis, a non-contact monitoring method for composite insulator pollution based on the spatial electric field is proposed. The results show that there are significant differences in the spatial electric field of the composite insulator among three conditions, namely cleaning, pollution layer wetting, and dry band arcing. Increases of pollution layer wetting and dry band arcing would lead to an increase of the amplitude of the spatial electric field of the insulator. Verification experiments well indicated that it is feasible to identify the degree of pollution layer wetting as well as dry band arcing of the insulator string by fixed-point monitoring, the spatial electric field signal at the cross-strand of d = 0.5 m and directly opposite the last three positions. Research results can provide references for the online monitoring of overhead line polluted insulators and its flashover warning.

Suggested Citation

  • Dongdong Zhang & Hong Xu & Jin Liu & Chengshun Yang & Xiaoning Huang & Zhijin Zhang & Xingliang Jiang, 2021. "Research on the Non-Contact Pollution Monitoring Method of Composite Insulator Based on Space Electric Field," Energies, MDPI, vol. 14(8), pages 1-15, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:8:p:2116-:d:533609
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    References listed on IDEAS

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    1. Yanpeng Hao & Yifan Liao & Zhiqiang Kuang & Yijie Sun & Gaofeng Shang & Weixun Zhang & Guiyun Mao & Lin Yang & Fuzeng Zhang & Licheng Li, 2020. "Experimental Investigation on Influence of Shed Parameters on Surface Rainwater Characteristics of Large-Diameter Composite Post Insulators under Rain Conditions," Energies, MDPI, vol. 13(19), pages 1-16, September.
    2. Muhammad Majid Hussain & Shahab Farokhi & Scott G. McMeekin & Masoud Farzaneh, 2017. "Risk Assessment of Failure of Outdoor High Voltage Polluted Insulators under Combined Stresses Near Shoreline," Energies, MDPI, vol. 10(10), pages 1-13, October.
    3. Zhijin Zhang & Shenghuan Yang & Xingliang Jiang & Xinhan Qiao & Yingzhu Xiang & Dongdong Zhang, 2019. "DC Flashover Dynamic Model of Post Insulator under Non-Uniform Pollution between Windward and Leeward Sides," Energies, MDPI, vol. 12(12), pages 1-17, June.
    4. 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.
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    Cited by:

    1. 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.
    2. Kalaiselvi Aramugam & Hazlee Azil Illias & Yern Chee Ching & Mohd Syukri Ali & Mohamad Zul Hilmey Makmud, 2023. "Optimal Design of Corona Ring for 132 kV Insulator at High Voltage Transmission Lines Based on Optimisation Techniques," Energies, MDPI, vol. 16(2), pages 1-18, January.

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