Damping Estimation Of Electric Disturbances In Distributed Power Systems
Glickman, Mark & O'Shea, Peter J. (2005) Damping Estimation Of Electric Disturbances In Distributed Power Systems. In 7th IASTED International Conference on Signal and Image Processing, August 15-17, Honolulu, Hawaii, USA.
This paper describes a new Fourier based method for estimating the damping of decaying exponential modes that occur in a distributed power system as a result of an electric disturbance. It is a "sliding spectral window" technique which builds on the work in ,  and .The key innovation in the new method is the use of multiple orthogonal windows rather than just a simple rectangular window (as used in ) or a simple smooth window (as used in  and ). The use of these multiple orthogonal windows allows least-squares averaging strategies to be performed, enabling lower variance estimates to be obtained as a result. Achieving lower variance estimates for damping is important because the more accurate the estimation is, the more quickly damping anomalies (which correspond to major electrical disturbances) can be detected. Simulations are presented which show that the use of multiple orthogonal sliding windows coupled with least squares estimation gives better results than are obtainable with a single window. The new method has a particular advantage at moderately low signal to noise ratios( SNRs).
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2005 Acta Press|
|Copyright Statement:||Reproduced in accordance with the copyright policy of the publisher.|
|Deposited On:||05 Oct 2005|
|Last Modified:||29 Feb 2012 23:10|
Repository Staff Only: item control page