Numerical Computation of Electric Field and Potential Along Silicone Rubber Insulators Under Contaminated and Dry Band Conditions

Ali, Arshad; Nekahi, A.; McMeekin, Scott G.; Farzaneh, M.

doi:10.1007/s13319-016-0101-z

Cited by 12 publications

(3 citation statements)

References 21 publications

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“…The Joule heating effect of current results in moisture evaporation and dry band formation. Electric field intensity at edges of dry bands is very high resulting in partial arcs and may lead to flashover and power outages [4]. To monitor contamination on outdoor insulators, different methods are developed based on equivalent salt deposit density (ESDD), NSDD and surface resistance [5].…”

Section: Introductionmentioning

confidence: 99%

Use of Wavelet Transform to Analyze Leakage Current of Silicone Rubber Insulators Under Polluted Conditions

Shaukat

Ali

Shah

2022

2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH)

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Leakage current is a very important parameter in the performance evaluation and monitoring of outdoor insulators. This paper presents experimental results of leakage current under different contaminated conditions of silicone rubber insulators. HTV silicone rubber sheets were utilized for tests and pollution was coated artificially in laboratory. The effect of temperature, humidity and pollution severity on leakage current of silicone rubber insulators were investigated. It was observed that leakage current magnitude increases with an increase in relative humidity, temperature, NSDD, and level of pollution severity. A discrete wavelet transforms (DWT) technique based on multi-resolution analysis (MRA) was used to study the time-frequency characteristics of leakage current. DWT-MRA technique can be used to detect frequency bands corresponding to different pollution severity levels and location of dry bands. These results can be used to predict dry band arcing activity on the surface of outdoor polymeric insulators.

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Section: Introductionmentioning

confidence: 99%

Use of Wavelet Transform to Analyze Leakage Current of Silicone Rubber Insulators Under Polluted Conditions

Shaukat

Ali

Shah

2022

2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH)

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“…So, it is still important to have more research work concerning insulator pollution. In recent years, several types of researches on the deposition of pollution have been executed [7][8][9][10][11][12][13][14][15]. In [7] reports, the impact of the distribution of pollutants on flashover voltage of various types of insulators was analyzed in a uniform method.…”

Section: Introductionmentioning

confidence: 99%

“…According to [9], the flashover voltage stress on the porcelain insulator strings is reduced by raising the non-uniformity level of the fan-shaped non-uniform pollution. The effect of the formation of the dry band, width, and location on the FOVs and arc growth were studied in [12], the results provided by [12] have indicated that the dry band increases the FOVs and helps to grow the arcs on the wetted surface of insulators. Many researchers have confirmed that artificial intelligence techniques such as Support Vector Machine (SVM), Artificial Neural Network (ANN), fuzzy logic (FL), and Adaptive Fuzzy Inference System (ANFIS) can be utilized to predict the flashover voltages.…”

Section: Introductionmentioning

confidence: 99%

Prediction Flashover Voltage on Polluted Porcelain Insulator Using ANN

Salem¹,

Rahman²,

Ghanem³

et al. 2021

Computers, Materials &Amp; Continua

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This paper aims to assess the effect of dry band location of contaminated porcelain insulators under various flashover voltages due to humidity. Four locations of dry bands are proposed to be tested under different severity of contamination artificially produce using salt deposit density (SDD) sprayed on an insulator. Laboratory tests of polluted insulators under proposed scenarios have been conducted. The flashover voltage of clean insulators has been identified as a reference value to analyze the effect of contamination distribution and its severity. The dry band dimension has been taken into consideration in experimental tests. The flashover voltage has been predicted using an artificial neural network (ANN) technique based on the laboratory test data. The ANN approach is constructed with five input data (geometry the insulator and parameters of contamination) and flashover voltage as the output of the model. Results indicated that the pollution distribution based on the proposed scenario has a significant influence on the flashover voltage performances. Validation of the ANN model reveals that the relative error values between the experimental results and the prediction appeared to be within 5%. This indicates the significant efficiency of the ANN technique in predicting the flashover voltage insulator under test.

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Measurement of surface resistance of silicone rubber sheets under polluted and dry band conditions

et al. 2017

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Ageing and degradation of silicone rubber insulators in contaminated environments is a major concern due to their organic nature. Understanding the flashover process of silicone rubber insulators under contamination is very important and needs standardized tests and procedures. Surface resistance measurement can be used as an indication of ageing and contamination severity of outdoor silicone rubber insulators. This paper presents experimental and mathematical results on surface resistance of high-temperature vulcanized silicone rubber sheets under various environmental and contaminated conditions. Rectangular silicone rubber sheets were polluted artificially in laboratory using a modified solid layer method based on IEC 60507 and tested in a climate chamber where fog rate, humidity and temperature can be controlled. Influence of non-soluble salt deposit density (NSDD), pollution severity, relative humidity, ambient temperature, dry band location and width, and multiple dry bands on surface resistance have been investigated. The obtained results show that surface resistance decreases with increase in NSDD, pollution severity and relative humidity. Increase in surface resistance was observed with the formation of dry bands. Although surface resistance was effected by all parameters, the most dominant parameter was noted Repeatability of results was confirmed by performing each test five times and concluded that surface resistance measurement can be standardized to evaluate ageing and pollution severity of silicone rubber insulators. These results along with the available literature on equivalent salt deposit density (ESDD) measurement could be used to formulate a relation between ESDD and surface resistance that could be useful for evaluating the performance of silicone rubber insulators in wet and contaminated environments.

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Numerical Computation of Electric Field and Potential Along Silicone Rubber Insulators Under Contaminated and Dry Band Conditions

Cited by 12 publications

References 21 publications

Use of Wavelet Transform to Analyze Leakage Current of Silicone Rubber Insulators Under Polluted Conditions

Use of Wavelet Transform to Analyze Leakage Current of Silicone Rubber Insulators Under Polluted Conditions

Prediction Flashover Voltage on Polluted Porcelain Insulator Using ANN

Measurement of surface resistance of silicone rubber sheets under polluted and dry band conditions

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