Harmonic source identification in power distribution system and meter placement using network impedance approach

The growing use of non-linear loads in the electrical systems has made harmonics a serious problem. Harmonic disturbance leads to degradation of power quality by deforming the current or voltage waveforms, thus, necessitating the effective techniques for harmonics detection. The purpose of this stud...

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主要作者:	Zaidi, Maryam Nabihah
格式:	Thesis
語言:	English
出版:	2020
主題:	TK Electrical engineering Electronics Nuclear engineering
在線閱讀:	http://eprints.utm.my/id/eprint/93015/1/MaryamNabihahZaidiMSKE2020.pdf
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id	my-utm-ep.93015
record_format	uketd_dc
spelling	my-utm-ep.930152021-11-07T06:00:27Z Harmonic source identification in power distribution system and meter placement using network impedance approach 2020 Zaidi, Maryam Nabihah TK Electrical engineering. Electronics Nuclear engineering The growing use of non-linear loads in the electrical systems has made harmonics a serious problem. Harmonic disturbance leads to degradation of power quality by deforming the current or voltage waveforms, thus, necessitating the effective techniques for harmonics detection. The purpose of this study is to propose a method for a single harmonic source identification in power distribution system by implementing a network impedance technique, and optimize the meters allocation by optimum meter placement algorithm (OMPA). The main advantage of this technique is that it results in enhanced accuracy with minimum vulnerability towards deviations in the measurements. Moreover, it minimizes the number of nodes for meter allocations, thereby resulting in economic advantages. To validate the results and effectiveness of the proposed methodology, a standard IEEE 13-Bus industrial network is designed using ETAP software and the algorithm is developed in MATLAB software. The validation of proposed algorithm OMPA is done by comparing its results with Monte Carlo (MC) technique. The results show that without any deviation in the network impedances, OMPA gives 89% accuracy as compared to 75% accuracy of MC. For the deviation value ? = 1-13 in the harmonic impedances, the overall accuracy of OMPA stays at 75%, while that of MC drops down to 56%. The developed algorithm OMPA is not only better in performance in harmonics identification with minimum number of meters, but also shows more resistance to the variations in the harmonic impedances as compared to MC algorithm. 2020 Thesis http://eprints.utm.my/id/eprint/93015/ http://eprints.utm.my/id/eprint/93015/1/MaryamNabihahZaidiMSKE2020.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:135904 masters Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering Faculty of Engineering - School 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 Zaidi, Maryam Nabihah Harmonic source identification in power distribution system and meter placement using network impedance approach
description	The growing use of non-linear loads in the electrical systems has made harmonics a serious problem. Harmonic disturbance leads to degradation of power quality by deforming the current or voltage waveforms, thus, necessitating the effective techniques for harmonics detection. The purpose of this study is to propose a method for a single harmonic source identification in power distribution system by implementing a network impedance technique, and optimize the meters allocation by optimum meter placement algorithm (OMPA). The main advantage of this technique is that it results in enhanced accuracy with minimum vulnerability towards deviations in the measurements. Moreover, it minimizes the number of nodes for meter allocations, thereby resulting in economic advantages. To validate the results and effectiveness of the proposed methodology, a standard IEEE 13-Bus industrial network is designed using ETAP software and the algorithm is developed in MATLAB software. The validation of proposed algorithm OMPA is done by comparing its results with Monte Carlo (MC) technique. The results show that without any deviation in the network impedances, OMPA gives 89% accuracy as compared to 75% accuracy of MC. For the deviation value ? = 1-13 in the harmonic impedances, the overall accuracy of OMPA stays at 75%, while that of MC drops down to 56%. The developed algorithm OMPA is not only better in performance in harmonics identification with minimum number of meters, but also shows more resistance to the variations in the harmonic impedances as compared to MC algorithm.
format	Thesis
qualification_level	Master's degree
author	Zaidi, Maryam Nabihah
author_facet	Zaidi, Maryam Nabihah
author_sort	Zaidi, Maryam Nabihah
title	Harmonic source identification in power distribution system and meter placement using network impedance approach
title_short	Harmonic source identification in power distribution system and meter placement using network impedance approach
title_full	Harmonic source identification in power distribution system and meter placement using network impedance approach
title_fullStr	Harmonic source identification in power distribution system and meter placement using network impedance approach
title_full_unstemmed	Harmonic source identification in power distribution system and meter placement using network impedance approach
title_sort	harmonic source identification in power distribution system and meter placement using network impedance approach
granting_institution	Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering
granting_department	Faculty of Engineering - School of Electrical Engineering
publishDate	2020
url	http://eprints.utm.my/id/eprint/93015/1/MaryamNabihahZaidiMSKE2020.pdf
_version_	1747818627236626432

Harmonic source identification in power distribution system and meter placement using network impedance approach

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