Insulator Contamination Forecasting Based on Fractal Analysis of Leakage Current

Chen, Weigen; Wang, Wanping; Xia, Qing; Luo, Bing; Li, Licheng

doi:10.3390/en5072594

Cited by 14 publications

(7 citation statements)

References 19 publications

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“…This improves the grid's performance and reduces the likelihood of a malfunction. The scientific community considers the study of the qualities of outdoor insulators and their long-term efficiency to be a relevant topic [12][13][14][15] .…”

Section: Leakage Current Characteristics In Estimating Insulator Reli...mentioning

confidence: 99%

Leakage current characteristics in estimating insulator reliability: experimental investigation and analysis

Salem

Lau

Rahiman

et al. 2022

Sci Rep

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The monitoring of leakage current (LC) and voltage characteristics in transmission line insulators is regarded as a good technique for anticipating the physical state of in-service insulators. In the current work, the temporal and frequency characteristics of LC and voltage under various situations were derived for assessing the health condition of porcelain, glass, and silicone rubber insulators. The contamination severity indicated by soluble deposit density, wetting level (Wt), non-soluble deposit density, and uneven pollution distribution (Pu/PL) were chosen as the environmental factors that impact the insulators. Six criteria were utilized to evaluate the physical state of the insulators, with four of those derived from the LC signal in the time domain, namely, the LC signal peak (C1), the phase shift between applied voltage and LC (C2), the LC signal slope between two consecutive peaks (C3), and the crest factor (C4). The remaining two indices, namely, the total harmonics distribution (C5) and the harmonics ratio indicator (C6), were obtained from the frequency domain of the LC signal. In addition, the flashover voltage index (C7) was also employed. The LC indicators were then classified based on the laboratory test results to reflect the physical state of the insulators. The findings revealed that the proposed indicators had an important impact in determining the physical state of the insulators. Furthermore, a confusion matrix was created for the test and prediction data using the suggested indicators to determine the effectiveness of each indicator.

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Section: Leakage Current Characteristics In Estimating Insulator Reli...mentioning

confidence: 99%

Leakage current characteristics in estimating insulator reliability: experimental investigation and analysis

Salem

Lau

Rahiman

et al. 2022

Sci Rep

View full text Add to dashboard Cite

show abstract

“…From the obtained results, the magnitude of the fundamental and third harmonic for clean surge arrester is smaller than under the polluted condition. A rapid increase of leakage current on polluted surface of surge arrester is caused by the moist surface that leads to ionization of salts [33]. The percentage increases around 21.42% for the fundamental harmonic when the surge arrester was polluted with salt water.…”

Section: Influence Of Pollution On Leakage Current Harmonicsmentioning

confidence: 99%

Measurement and Modelling of Leakage Current Behaviour in ZnO Surge Arresters under Various Applied Voltage Amplitudes and Pollution Conditions

et al. 2018

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In zinc oxide (ZnO) surge arresters, leakage current usually flows across the arrester under normal operating condition. Leakage current is one of the factors which contribute towards degradation of surge arresters and therefore, it is very important to monitor the condition of surge arrester. In this work, the behaviour of leakage current in a ZnO surge arrester during normal operation, under different voltage amplitudes, wetness and pollution conditions was analysed. An 11 kV surge arrester model in three-dimensional space was subjected to finite element analysis (FEA) to determine the leakage current under different conditions. The results from the FEA model were compared with the measurement results to validate the model that has been developed. From comparison between the measurement and simulation results, physical parameters of a surge arrester that influence the leakage current under different conditions of the surge arrester were identified from the model. Through this work, a better understanding of leakage current behaviour can be attained, which may help in condition monitoring analysis on surge arrester in electrical utilities.

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“…Therefore, monitoring the condition of insulators has a significant effect on the power system stability [9,10]. The assessment of outdoor insulator properties and long-term efficiency is thus an important area of research in the science establishment [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Polymeric Insulator Conditions Estimation by Using Leakage Current Characteristics Based on Simulation and Experimental Investigation

et al. 2022

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The current work contributes an estimate of the time-frequency characteristics of a leakage current in assessing the health condition of a polluted polymeric insulator. A 33 kV polymer insulator string was subjected to a series of laboratory tests under a range of environmental conditions, including pollution, wetting rate (WR), non-soluble deposit density (NSDD), and non-uniform distribution pollution (FT/B). The temporal and frequency features of the leakage current were then extracted and used as assessment indicators for insulator conditions based on laboratory test findings. Two indices were generated from the leakage current waveform in the time domain: the curve slope index (F1), which is determined by measuring the inclination of the curve between two successive time peaks of the leakage current, and the crest factor indicator (F2). The frequency domain of the leakage current signal was used to calculate the other two indices. These are the odd harmonic indicators derived from the odd frequency harmonics of the leakage current up to the 9th component (F3) and the 5th to 3rd harmonics ratio (F4). The findings showed that the suggested indicators were capable of evaluating insulator conditions. Finally, the confusion matrix for the experimental and prediction results obtained with the proposed indices was used to assess which indicator performed the best. Therefore, the analysis suggests an alternative and effective method for estimating the health condition of a polluted insulator through leakage current characteristics obtained in the time and frequency domains.

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Insulator Contamination Forecasting Based on Fractal Analysis of Leakage Current

Cited by 14 publications

References 19 publications

Leakage current characteristics in estimating insulator reliability: experimental investigation and analysis

Leakage current characteristics in estimating insulator reliability: experimental investigation and analysis

Measurement and Modelling of Leakage Current Behaviour in ZnO Surge Arresters under Various Applied Voltage Amplitudes and Pollution Conditions

Polymeric Insulator Conditions Estimation by Using Leakage Current Characteristics Based on Simulation and Experimental Investigation

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