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Erschienen in:
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2013 | OriginalPaper | Buchkapitel

9. Selective Modal Analysis

verfasst von : Luis Rouco, F. L. Pagola, George C. Verghese, Ignacio J. Pérez-Arriaga

Erschienen in: Power System Coherency and Model Reduction

Verlag: Springer New York

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Abstract

Selective Modal Analysis (SMA) is a comprehensive methodology for the modeling, analysis, and control of selected parts of the dynamics of systems described by large linear time-invariant (LTI) models. The main components of SMA are sensitivity tools and algorithms for reduced-order eigenanalysis. Sensitivity tools developed within the SMA framework include participation factors, which measure the participation of the state variables in the eigenmodes and vice versa. Participation factors play a central role in SMA developments. This chapter shows the role of participation factors in the identification of dynamic patterns, design of damping controllers, and reduced-order eigenanalysis.

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Vorheriges Kapitel Measurement-Based Methods for Model Reduction of Power Systems Using Synchrophasors
Nächstes Kapitel Interarea Mode Analysis for Large Power Systems Using Synchrophasor Data
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Metadaten
Titel
Selective Modal Analysis
verfasst von
Luis Rouco
F. L. Pagola
George C. Verghese
Ignacio J. Pérez-Arriaga
Copyright-Jahr
2013
Verlag
Springer New York
Buch
Power System Coherency and Model Reduction

Print ISBN: 978-1-4614-1802-3

Electronic ISBN: 978-1-4614-1803-0

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-1-4614-1803-0_9