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Insulator Contamination Forecasting Based on Fractal Analysis of Leakage Current

Author

Listed:
  • Weigen Chen

    (State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Department of High Voltage and Insulation Engineering, College of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Wanping Wang

    (State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Department of High Voltage and Insulation Engineering, College of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Qing Xia

    (State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Department of High Voltage and Insulation Engineering, College of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Bing Luo

    (China South Grid Electric Power Research Institute, Guangzhou 510623, China)

  • Licheng Li

    (China South Grid Electric Power Research Institute, Guangzhou 510623, China)

Abstract

In this paper, an artificial pollution test is carried out to study the leakage current of porcelain insulators. Fractal theory is adopted to extract the characteristics hidden in leakage current waveforms. Fractal dimensions of the leakage current for the security, forecast and danger zones are analyzed under four types of degrees of contamination. The mean value and the standard deviation of the fractal dimension in the forecast zone are calculated to characterize the differences. The analysis reveals large differences in the fractal dimension of leakage current under different contamination discharge stages and degrees. The experimental and calculation results suggest that the fractal dimension of a leakage current waveform can be used as a new indicator of the discharge process and contamination degree of insulators. The results provide new methods and valid indicators for forecasting contamination flashovers.

Suggested Citation

  • Weigen Chen & Wanping Wang & Qing Xia & Bing Luo & Licheng Li, 2012. "Insulator Contamination Forecasting Based on Fractal Analysis of Leakage Current," Energies, MDPI, vol. 5(7), pages 1-14, July.
    • Handle: RePEc:gam:jeners:v:5:y:2012:i:7:p:2594-2607:d:18971
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    Citations

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    Cited by:

    1. Nurul A. A. Latiff & Hazlee A. Illias & Ab H. A. Bakar & Sameh Z. A. Dabbak, 2018. "Measurement and Modelling of Leakage Current Behaviour in ZnO Surge Arresters under Various Applied Voltage Amplitudes and Pollution Conditions," Energies, MDPI, vol. 11(4), pages 1-16, April.
    2. Xiangxin Li & Ming Zhou & Yazhou Luo & Gang Wang & Lin Jia, 2018. "Effect of Ice Shedding on Discharge Characteristics of an Ice-Covered Insulator String during AC Flashover," Energies, MDPI, vol. 11(9), pages 1-11, September.
    3. 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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