Estimation of Modal Damping in Power Networks

Glickman, Mark, O'Shea, Peter J., & Ledwich, Gerard F. (2007) Estimation of Modal Damping in Power Networks. IEEE Transactions on Power Systems, 22(3), pp. 1340-1350.

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This paper describes a new Fourier-based sliding window method for estimating the damping of exponentially decaying modes that occur in a power networks as a result of electric disturbances. The key innovation in the new method is the use of multiple orthogonal sliding windows rather than just a single pair of sliding windows. The use of these multiple orthogonal windows allows least-squares averaging strategies to be used, enabling lower variance estimates to be obtained as a result. A statistical analysis is provided, and simulations are presented to illustrate the effectiveness of the new method. The technique is also applied to real power system data.

Impact and interest:

31 citations in Scopus
20 citations in Web of Science®
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848 since deposited on 14 Aug 2007
171 in the past twelve months

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ID Code: 8984
Item Type: Journal Article
Refereed: Yes
Keywords: interconnected power systems, least, square methods, parameter estimation, power system monitoring, power system transients, singular value decomposition
DOI: 10.1109/TPWRS.2007.901122
ISSN: 0885-8950
Subjects: Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000)
Divisions: Current > Research Centres > CRC Integrated Engineering Asset Management (CIEAM)
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Institute for Sustainable Resources
Copyright Owner: Copyright 2007 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 14 Aug 2007 00:00
Last Modified: 29 Feb 2012 13:31

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