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Influence of DC Electric Fields on Pollution of HVDC Composite Insulator Short Samples with Different Environmental Parameters

Author

Listed:
  • Xinhan Qiao

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)

  • Zhijin Zhang

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)

  • Xingliang Jiang

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)

  • Tian Liang

    (State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China)

Abstract

Pollution-induced flashover is a serious threat to the safe operation of power systems. With the development of High Voltage Direct Current (HVDC), it is necessary to study insulator contamination in DC electric fields. In this paper, the energized wind tunnel contamination test was conducted in order to systematically study the pollution ratio, k (ratio of non-soluble deposit density (NSDD) of a DC-energized condition to a non-energized condition), under different environmental parameters. Later, a two-dimensional contamination model of short samples of an HVDC composite insulator was established. The particle motion characteristics under different environmental parameters were then analyzed by the finite element method (FEM). The research results showed that—the DC electric field had an influence on particle motion but in different environments, the degree of influence was different. In addition, k was found to largely vary, with a variation in the environmental parameters. When the electrical stress ( E s ) increased from 0 to 70 kV/m, k increased gradually. However, when the wind speed ( w s ) increased, k experienced a decreasing trend. Finally, as the particle diameter ( d p ) decreased, k increased at first, followed by a decrease, and then again showed an increase. The results of the pollution ratio, k , for different environmental parameters are of great importance for guiding anti-pollution work in power systems.

Suggested Citation

  • Xinhan Qiao & Zhijin Zhang & Xingliang Jiang & Tian Liang, 2019. "Influence of DC Electric Fields on Pollution of HVDC Composite Insulator Short Samples with Different Environmental Parameters," Energies, MDPI, vol. 12(12), pages 1-12, June.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:12:p:2304-:d:240376
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    References listed on IDEAS

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    1. Dongdong Zhang & Zhijin Zhang & Xingliang Jiang & Lichun Shu & Bin Wu, 2018. "Simulation Study on the Effects of DC Electric Field on Insulator Surface Pollution Deposit," Energies, MDPI, vol. 11(3), pages 1-12, March.
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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. Da Zhang & Shuailin Chen, 2021. "Insulator Contamination Grade Recognition Using the Deep Learning of Color Information of Images," Energies, MDPI, vol. 14(20), pages 1-15, October.
    3. Jiahong He & Kang He & Bingtuan Gao, 2019. "Modeling of Dry Band Formation and Arcing Processes on the Polluted Composite Insulator Surface," Energies, MDPI, vol. 12(20), pages 1-20, October.
    4. 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.
    5. Hao Yang & Haotian Zhang & Wen Cao & Xuanxiang Zhao & Ran Wen & Junping Zhao & Shengwu Tan & Pengchao Wang, 2021. "Optical Diagnostic Characterization of the Local Arc on Contaminated Insulation Surface at Low Pressure," Energies, MDPI, vol. 14(19), pages 1-11, September.

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