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Insulator Contamination Forecasting Based on Fractal Analysis of Leakage Current
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
China South Grid Electric Power Research Institute, Guangzhou 510623, China
* Author to whom correspondence should be addressed.
Received: 25 April 2012; in revised form: 25 June 2012 / Accepted: 12 July 2012 / Published: 20 July 2012
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.
Keywords: insulator; leakage current; contamination degree; fractal theory; fractal dimension; contamination degree
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Cite This Article
MDPI and ACS Style
Chen, W.; Wang, W.; Xia, Q.; Luo, B.; Li, L. Insulator Contamination Forecasting Based on Fractal Analysis of Leakage Current. Energies 2012, 5, 2594-2607.
Chen W, Wang W, Xia Q, Luo B, Li L. Insulator Contamination Forecasting Based on Fractal Analysis of Leakage Current. Energies. 2012; 5(7):2594-2607.
Chen, Weigen; Wang, Wanping; Xia, Qing; Luo, Bing; Li, Licheng. 2012. "Insulator Contamination Forecasting Based on Fractal Analysis of Leakage Current." Energies 5, no. 7: 2594-2607.