Zinc oxide surge arrester condition monitoring using thermal image and third harmonic leakage current correlation

Arrester is used to protect high voltage equipment or electric power lines from permanent or temporary overvoltage. It is imperative to perform a frequent monitoring on the condition of the arrester as this device will prevent damage to the power system. When there is an AC operating voltage applied...

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Main Author:	Abd. Ghafar, Nur Asilah
Format:	Thesis
Language:	English
Published:	2014
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/48928/25/NurAsilahAbdGhafarMFKE2014.pdf
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id	my-utm-ep.48928
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spelling	my-utm-ep.489282020-07-08T02:02:59Z Zinc oxide surge arrester condition monitoring using thermal image and third harmonic leakage current correlation 2014-05 Abd. Ghafar, Nur Asilah TK Electrical engineering. Electronics Nuclear engineering Arrester is used to protect high voltage equipment or electric power lines from permanent or temporary overvoltage. It is imperative to perform a frequent monitoring on the condition of the arrester as this device will prevent damage to the power system. When there is an AC operating voltage applied across the arrester body, there is a small leakage current flowing to the ground terminal of the arrester. Currently, the third harmonic component of the leakage current has been used to identify the condition of the arrester whether it is still safe to be used. However, measurements of the leakage current and its harmonic components pose some difficulties. Moreover, the usage of a new technique based on thermal condition in monitoring the performance of arrester has been studied widely. The thermal condition of an arrester can be used to support the efficiency of the monitoring process. This research proposes to investigate the correlation between two variables, namely the third harmonic leakage current, and the arrester housing surface temperature (representing the thermal condition of the arrester) using a Radial Basis Function (RBF) Neural Network analysis. In addition, this research also studies the effect of ambient temperature on the correlation between the two variables. The leakage current values were measured using a current shunt and a digital storage oscilloscope, and then analyzed using Fast Fourier Transform to obtain its harmonic component. The surface thermal profile of the arrester body was captured using a thermal camera and then further analyzed to obtain several key representative parameters including the maximum, minimum, average, and standard deviation temperatures. These temperature parameters, together with the ambient temperature, were used as input variables while the third harmonic leakage current magnitude as a target to the proposed radial basis function neural network. The ambient temperature was then omitted in a repeated computation. From the radial basis function analyses, the two mentioned variables are positively correlated. Also, the ambient temperature has an effect on this correlation, whereby it is advisable also include the ambient temperature in the ANN computation to minimize the error. The results from all experimental data (500 training, 61 testing) show that a 97% accuracy in categorizing the arrester condition (either good or bad) is successfully achieved. Thus, it can be concluded that there is a good correlation between the third harmonic leakage current and the thermal image of an arrester which means the thermal image can be used as an alternative technique for zinc oxide surge arrester monitoring without the need to measure the leakage current. 2014-05 Thesis http://eprints.utm.my/id/eprint/48928/ http://eprints.utm.my/id/eprint/48928/25/NurAsilahAbdGhafarMFKE2014.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:84872 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Abd. Ghafar, Nur Asilah Zinc oxide surge arrester condition monitoring using thermal image and third harmonic leakage current correlation
description	Arrester is used to protect high voltage equipment or electric power lines from permanent or temporary overvoltage. It is imperative to perform a frequent monitoring on the condition of the arrester as this device will prevent damage to the power system. When there is an AC operating voltage applied across the arrester body, there is a small leakage current flowing to the ground terminal of the arrester. Currently, the third harmonic component of the leakage current has been used to identify the condition of the arrester whether it is still safe to be used. However, measurements of the leakage current and its harmonic components pose some difficulties. Moreover, the usage of a new technique based on thermal condition in monitoring the performance of arrester has been studied widely. The thermal condition of an arrester can be used to support the efficiency of the monitoring process. This research proposes to investigate the correlation between two variables, namely the third harmonic leakage current, and the arrester housing surface temperature (representing the thermal condition of the arrester) using a Radial Basis Function (RBF) Neural Network analysis. In addition, this research also studies the effect of ambient temperature on the correlation between the two variables. The leakage current values were measured using a current shunt and a digital storage oscilloscope, and then analyzed using Fast Fourier Transform to obtain its harmonic component. The surface thermal profile of the arrester body was captured using a thermal camera and then further analyzed to obtain several key representative parameters including the maximum, minimum, average, and standard deviation temperatures. These temperature parameters, together with the ambient temperature, were used as input variables while the third harmonic leakage current magnitude as a target to the proposed radial basis function neural network. The ambient temperature was then omitted in a repeated computation. From the radial basis function analyses, the two mentioned variables are positively correlated. Also, the ambient temperature has an effect on this correlation, whereby it is advisable also include the ambient temperature in the ANN computation to minimize the error. The results from all experimental data (500 training, 61 testing) show that a 97% accuracy in categorizing the arrester condition (either good or bad) is successfully achieved. Thus, it can be concluded that there is a good correlation between the third harmonic leakage current and the thermal image of an arrester which means the thermal image can be used as an alternative technique for zinc oxide surge arrester monitoring without the need to measure the leakage current.
format	Thesis
qualification_level	Master's degree
author	Abd. Ghafar, Nur Asilah
author_facet	Abd. Ghafar, Nur Asilah
author_sort	Abd. Ghafar, Nur Asilah
title	Zinc oxide surge arrester condition monitoring using thermal image and third harmonic leakage current correlation
title_short	Zinc oxide surge arrester condition monitoring using thermal image and third harmonic leakage current correlation
title_full	Zinc oxide surge arrester condition monitoring using thermal image and third harmonic leakage current correlation
title_fullStr	Zinc oxide surge arrester condition monitoring using thermal image and third harmonic leakage current correlation
title_full_unstemmed	Zinc oxide surge arrester condition monitoring using thermal image and third harmonic leakage current correlation
title_sort	zinc oxide surge arrester condition monitoring using thermal image and third harmonic leakage current correlation
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2014
url	http://eprints.utm.my/id/eprint/48928/25/NurAsilahAbdGhafarMFKE2014.pdf
_version_	1747817504832487424

Zinc oxide surge arrester condition monitoring using thermal image and third harmonic leakage current correlation

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