Distribution network fault section estimation using analytical database approach

A fault in a power system may cause interruption of supply. The fault needs to he detected, located and cleared as soon as possible. In a distribution network, it is difficult to determine where the fault occurs. This is because there is lack of information on the distribution network status except...

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Main Author:	Mokhtar, Ahmad Safawi
Format:	Thesis
Language:	English
Published:	2004
Subjects:	Q Science (General)
Online Access:	http://eprints.utm.my/id/eprint/6812/1/AhmadSafawiMokhtarPFKE2004.pdf
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id	my-utm-ep.6812
record_format	uketd_dc
spelling	my-utm-ep.68122018-09-19T05:03:34Z Distribution network fault section estimation using analytical database approach 2004-11 Mokhtar, Ahmad Safawi Q Science (General) TA Engineering (General). Civil engineering (General) A fault in a power system may cause interruption of supply. The fault needs to he detected, located and cleared as soon as possible. In a distribution network, it is difficult to determine where the fault occurs. This is because there is lack of information on the distribution network status except a trip feeder. Therefore. in order to improve the customer minute loss, the fault section should be estimated so that the faulty section can be isolated and the rest of the sections in the feeder can be quickly restored. This thesis describes the development or a new fault section estimation algorithm in a distribution network. This is the main part of the research which investigates how the voltage sag can be used to estimate the fault section 111 the distribution network. The method IS based on an analytical database approach which uses a power flow and fault analysis program to establish analytical voltage sag databases for a typical studied distribution network topology. The databases contain voltage sag magnitude and phase shin information for all nodes on the distribution network under different fault types and load conditions. When a fault occurs, the method only needs to measure the fault generated voltage sag waveform at the network primary substation. This measured waveform is then compared to the analytical databases. Database search and comparison algorithms were developed to identify the faulty section fix the network. The proposed method was evaluated and tested on a typical distribution network by using voltage waveforms produced by PSCAD/EMTDC. n power system simulator. Prior to the fault section estimation process, the fault type has first to be classified. This is because different types of fault may cause different values of voltage sag, which leads lo having different databases for different types of fault. In this research. wavelet technique was adopted. The voltage signal was transformed to wavelets coefficients using the wavelet transform. Then the standard deviation of these coefficients was calculated. and an algorithm was developed to classify the fault type. using these standard deviation values. III In addition to the fault section estimation and fault type classification. this study also investigates how to transfer voltage waveforms efficiently from the substation to the central site. This is because a substation is usually situated far from the central site, and the waveform needs to be transferred to the central site so that the fault type classification and fault section estimation process can be done. The method proposed in this thesis is by data compression and reconstruction using wavelet transform. 2004-11 Thesis http://eprints.utm.my/id/eprint/6812/ http://eprints.utm.my/id/eprint/6812/1/AhmadSafawiMokhtarPFKE2004.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:62461 phd doctoral The University of Manchester, England, Faculty of Engineering and Physical Science Faculty of Engineering and Physical Science
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	Q Science (General) Q Science (General)
spellingShingle	Q Science (General) Q Science (General) Mokhtar, Ahmad Safawi Distribution network fault section estimation using analytical database approach
description	A fault in a power system may cause interruption of supply. The fault needs to he detected, located and cleared as soon as possible. In a distribution network, it is difficult to determine where the fault occurs. This is because there is lack of information on the distribution network status except a trip feeder. Therefore. in order to improve the customer minute loss, the fault section should be estimated so that the faulty section can be isolated and the rest of the sections in the feeder can be quickly restored. This thesis describes the development or a new fault section estimation algorithm in a distribution network. This is the main part of the research which investigates how the voltage sag can be used to estimate the fault section 111 the distribution network. The method IS based on an analytical database approach which uses a power flow and fault analysis program to establish analytical voltage sag databases for a typical studied distribution network topology. The databases contain voltage sag magnitude and phase shin information for all nodes on the distribution network under different fault types and load conditions. When a fault occurs, the method only needs to measure the fault generated voltage sag waveform at the network primary substation. This measured waveform is then compared to the analytical databases. Database search and comparison algorithms were developed to identify the faulty section fix the network. The proposed method was evaluated and tested on a typical distribution network by using voltage waveforms produced by PSCAD/EMTDC. n power system simulator. Prior to the fault section estimation process, the fault type has first to be classified. This is because different types of fault may cause different values of voltage sag, which leads lo having different databases for different types of fault. In this research. wavelet technique was adopted. The voltage signal was transformed to wavelets coefficients using the wavelet transform. Then the standard deviation of these coefficients was calculated. and an algorithm was developed to classify the fault type. using these standard deviation values. III In addition to the fault section estimation and fault type classification. this study also investigates how to transfer voltage waveforms efficiently from the substation to the central site. This is because a substation is usually situated far from the central site, and the waveform needs to be transferred to the central site so that the fault type classification and fault section estimation process can be done. The method proposed in this thesis is by data compression and reconstruction using wavelet transform.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Mokhtar, Ahmad Safawi
author_facet	Mokhtar, Ahmad Safawi
author_sort	Mokhtar, Ahmad Safawi
title	Distribution network fault section estimation using analytical database approach
title_short	Distribution network fault section estimation using analytical database approach
title_full	Distribution network fault section estimation using analytical database approach
title_fullStr	Distribution network fault section estimation using analytical database approach
title_full_unstemmed	Distribution network fault section estimation using analytical database approach
title_sort	distribution network fault section estimation using analytical database approach
granting_institution	The University of Manchester, England, Faculty of Engineering and Physical Science
granting_department	Faculty of Engineering and Physical Science
publishDate	2004
url	http://eprints.utm.my/id/eprint/6812/1/AhmadSafawiMokhtarPFKE2004.pdf
_version_	1747814692013735936

Distribution network fault section estimation using analytical database approach

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