Staff View: Fault section detection and location on distribution network using analytical voltage sags database

Fault section detection and location on distribution network using analytical voltage sags database

This paper presents the application of voltage sags information for automatic fault section detection and location on a distribution network. Based on a network topology and load estimations obtained from load modeling, this method uses a three phase load flow and fault analysis to establish analyti...

Full description

Saved in:

Bibliographic Details
Main Authors:	Khalid, A.R., Mokhlis, Hazlie, Li, H.
Format:	Conference or Workshop Item
Published:	2006
Subjects:	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.um.edu.my/7915/ http://digital-library.theiet.org/content/conferences/10.1049/cp_20061894
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.um.eprints.7915
record_format	eprints
spelling	my.um.eprints.79152018-10-15T05:54:45Z http://eprints.um.edu.my/7915/ Fault section detection and location on distribution network using analytical voltage sags database Khalid, A.R. Mokhlis, Hazlie Li, H. TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This paper presents the application of voltage sags information for automatic fault section detection and location on a distribution network. Based on a network topology and load estimations obtained from load modeling, this method uses a three phase load flow and fault analysis to establish analytical voltage sags database information for a studied distribution network. The database contains voltage sag magnitude and phase shift information of simulated fault for all nodes on the distribution network. When a fault occurs in the network, voltage sags at the monitored bus is compared to the voltage sags in the database. By doing this all the possible sections due to the fault can be selected. Finally, the most probable faulty section is identified using probability approach.This paper presents the implemented algorithms and the test of the algorithms on typical distribution networks. The obtained results prove the capability of the approach in locating fault section. 2006 Conference or Workshop Item PeerReviewed Khalid, A.R. and Mokhlis, Hazlie and Li, H. (2006) Fault section detection and location on distribution network using analytical voltage sags database. In: 2006 China International Conference on Electricity Distribution (CICED 2006), 2006. http://digital-library.theiet.org/content/conferences/10.1049/cp_20061894
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Khalid, A.R. Mokhlis, Hazlie Li, H. Fault section detection and location on distribution network using analytical voltage sags database
description	This paper presents the application of voltage sags information for automatic fault section detection and location on a distribution network. Based on a network topology and load estimations obtained from load modeling, this method uses a three phase load flow and fault analysis to establish analytical voltage sags database information for a studied distribution network. The database contains voltage sag magnitude and phase shift information of simulated fault for all nodes on the distribution network. When a fault occurs in the network, voltage sags at the monitored bus is compared to the voltage sags in the database. By doing this all the possible sections due to the fault can be selected. Finally, the most probable faulty section is identified using probability approach.This paper presents the implemented algorithms and the test of the algorithms on typical distribution networks. The obtained results prove the capability of the approach in locating fault section.
format	Conference or Workshop Item
author	Khalid, A.R. Mokhlis, Hazlie Li, H.
author_facet	Khalid, A.R. Mokhlis, Hazlie Li, H.
author_sort	Khalid, A.R.
title	Fault section detection and location on distribution network using analytical voltage sags database
title_short	Fault section detection and location on distribution network using analytical voltage sags database
title_full	Fault section detection and location on distribution network using analytical voltage sags database
title_fullStr	Fault section detection and location on distribution network using analytical voltage sags database
title_full_unstemmed	Fault section detection and location on distribution network using analytical voltage sags database
title_sort	fault section detection and location on distribution network using analytical voltage sags database
publishDate	2006
url	http://eprints.um.edu.my/7915/ http://digital-library.theiet.org/content/conferences/10.1049/cp_20061894
_version_	1643688164541333504
score	13.244368

Fault section detection and location on distribution network using analytical voltage sags database

Similar Items