Masters Theses
Abstract
"Modal Analysis methodologies are being investigated as a means to model power system behavior, in recent times. A number of approaches, borrowing from the classical System Identification methods have been investigated in the past. The requirement is for determining low-order linearized models of power systems, for which identification of the modal parameters of the system becomes necessary.
This work compares and contrasts three modal extraction methods, namely the Prony method, the Levenberg-Marquardt method, and the Hilbert Transform method. Among these, the Prony has been a topic of research for some time, as also the Levenberg-Marquardt method which is based on the least squares technique. The application of the Hilbert Transform method to power system analysis on the other hand is a recent development.
The eigenvalues and residues of the reduced order models of large non-linear systems are determined from the system dynamic response for each of the three methods. The Levenberg-Marquardt method was found to be the most accurate. The Prony and the Hilbert Transform methods yielded fairly accurate results depending on the selection of natural frequencies and an accurate estimation of the number of modes in the system."--Abstract, page iii.
Advisor(s)
Crow, Mariesa
Committee Member(s)
Chowdhury, Badrul H.
Stanek, Keith
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Electrical Engineering
Publisher
University of Missouri--Rolla
Publication Date
Spring 2004
Pagination
viii, 50 pages
Note about bibliography
Includes bibliographical references (pages 48-49)
Rights
© 2004 Atmika Singh, All rights reserved.
Document Type
Thesis - Restricted Access
File Type
text
Language
English
Subject Headings
Modal analysis
Thesis Number
T 8521
Print OCLC #
56715844
Recommended Citation
Singh, Atmika, "An analysis and comparison of modal extraction techniques in power system modeling" (2004). Masters Theses. 2529.
https://scholarsmine.mst.edu/masters_theses/2529
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