Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/43252
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: The detection of abrupt changes using recursive identification for power system fault analysis
Author: Ukil, A.
Zivanovic, R.
Citation: Electric Power Systems Research, 2007; 77(3-4):259-265
Publisher: Elsevier Science SA
Issue Date: 2007
ISSN: 0378-7796
Statement of
Responsibility: 
Abhisek Ukil and Rastko Živanović
Abstract: This paper describes the application of the recursive parameter estimation technique used to detect the abrupt changes in the signals recorded during disturbances in the power network of South Africa. The recursive identification technique uses M parallel Kalman filters. Main focus has been to estimate the time-instants of the changes in the signal model parameters during the pre-fault condition and following the events like initiation of fault, circuit-breaker opening, auto-reclosure of the circuit-breakers and the like. After segmenting the fault signal precisely into these event-specific sections, further signal processing and analysis can be performed on these segments, leading to automated fault recognition and analysis. In the scope of this paper, we focus on the first task, that is, segmenting the fault signal into event-specific sections using the recursive identification technique.
Keywords: Power system fault analysis
Abrupt change detection
Recursive identification
Description: Copyright © 2008 Elsevier B.V.
DOI: 10.1016/j.epsr.2006.03.003
Description (link): http://www.elsevier.com/wps/find/journaldescription.cws_home/504085/description#description
Appears in Collections:Aurora harvest
Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.