Linear stochastic analysis of polluted insulator leakage current

Amarh, F.; Karady, G.G.; Sundararajan, Raji

doi:10.1109/tpwrd.2002.800878

Cited by 49 publications

(15 citation statements)

References 6 publications

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“…Thefrequency,waveforms phase angle and other characteristics of leakage current correlate to the full progress of pollution flashover. Therefore, assessment of insulator based on leakage current monitoring is possible on theory [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Development of contamination flashover pre-warning system and analysis of operating experience

Chen

Mei

Zhu

et al. 2015

IEEE Trans. Dielect. Electr. Insul.

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Pollution flashover has been a serious threat to the operation safety for the power system. Online monitoring is one most important way for the operation and maintenance of power system. The leakage current on insulator surface is a comprehensive reflection of the insulator surface contamination, environmental conditions and other affecting factors. The purpose of outdoor insulation state on-line monitoring could be achieved by measuring and monitoring the leakage current on insulator surface. This paper showed that close relationship existed between leakage current in both low humidity and saturated moisture conditions. A negative exponential relationship exists between pollution flashover voltage and a new parameter I* which could reflect the insulator shape and the maximum leakage current under saturated humidity. The flashover voltage under saturated humidity could be predicted through current obtained under low humidity conditions. A contamination pre-warning system was constructed in accordance using this mathematical model combined with some hardware system. Pilot systems were established in some typical polluted area in Jiangsu Province. The results showed that the system could achieve online monitoring purposes. , and 1993, respectively. He has worked at Tsinghua University since 1993. His major research fields are high voltage insulation and electrical discharge, flashover mechanism on contaminated insulators, and application of pulsed electric fields.

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Section: Introductionmentioning

confidence: 99%

Development of contamination flashover pre-warning system and analysis of operating experience

Chen

Mei

Zhu

et al. 2015

IEEE Trans. Dielect. Electr. Insul.

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“…The aforementioned methods mainly focus on the time domain. However, more LC characteristics in frequency domain could be obtained by FFT analysis, power spectrum analysis, and wavelet analysis . Generally speaking, the magnitudes of the odd harmonic components of LC increases during the pollution flashover process, mainly including 50, 150, and 250 Hz harmonic components .…”

Section: Introductionmentioning

confidence: 99%

Evaluating the contamination level of polluted insulators based on the characteristics of leakage current

Zhao

Jiang

2014

Int. Trans. Electr. Energ. Syst.

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SUMMARYEffective prediction of the contamination level of insulators is an important approach to the prevention of pollution flashover accidents, and the leakage current (LC) is an efficient factor to analyze and detect the contamination level of insulators. In order to predict how severe the contamination level of insulators is and prevent pollution flashover accidents, firstly, some artificial pollution tests have been investigated under different contamination levels, relative humidity (RH), and ambient temperature (T). Secondly, based on the experimental data, the three characteristics of LC, namely the maximum pulse amplitude (I h ), the energy ratio (K), and the energy (E), have been extracted. They reflect jointly the LC from different perspectives. Thirdly, the variation laws between the three characteristics and the contamination level, RH and T, have been obtained. Fourthly, the prediction of the contamination level by using least squares support vector machine (LS-SVM) model has been presented, in which the three characteristics, RH and T are used as the inputs of model, and the contamination level is used as the output of model. Finally, this model has been verified with the test data obtained in the artificial climate chamber, and the prediction results are consistent with the test results. Therefore, the LS-SVM model is acceptable to predict the contamination level of insulators and is of significance for the prevention of pollution flashover accidents.

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“…To address this issue, active research has been focused on extracting the characteristics hidden in the waveform that best distinguish different degrees of contamination. For instance, recent studies extracted characteristics from time and frequency domain analysis of the waveform [13][14][15]. However, none of the characteristics can perfectly separate different degrees of contamination, since each characteristic can only reveal a certain aspect of the information in the waveform.…”

Section: Introductionmentioning

confidence: 99%

Insulator Contamination Forecasting Based on Fractal Analysis of Leakage Current

et al. 2012

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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.

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Linear stochastic analysis of polluted insulator leakage current

Cited by 49 publications

References 6 publications

Development of contamination flashover pre-warning system and analysis of operating experience

Development of contamination flashover pre-warning system and analysis of operating experience

Evaluating the contamination level of polluted insulators based on the characteristics of leakage current

Insulator Contamination Forecasting Based on Fractal Analysis of Leakage Current

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