| Energies | |
| Insulator Contamination Forecasting Based on Fractal Analysis of Leakage Current | |
| Weigen Chen1  Wanping Wang1  Qing Xia1  Bing Luo2  | |
| [1] 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; E-Mails:;China South Grid Electric Power Research Institute, Guangzhou 510623, China; E-Mails: | |
| 关键词: insulator; leakage current; contamination degree; fractal theory; fractal dimension; contamination degree; | |
| DOI : 10.3390/en5072594 | |
| 来源: mdpi | |
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【 摘 要 】
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.
【 授权许可】
CC BY
© 2012 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202003190042933ZK.pdf | 374KB |
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