Computing Large-Scale System Eigenvalues Most Sensitive to Parameter Changes, With Applications to Power System Small-Signal Stability

Author

Rommes, Joost ; Martins, Nelson

Author_Institution

NXP Semicond. Corp. I&T/DTF, Eindhoven

Volume

23

Issue

2

fYear

2008

fDate

5/1/2008 12:00:00 AM

Firstpage

434

Lastpage

442

Abstract

This paper describes a new algorithm, named the sensitive pole algorithm, for the automatic computation of the eigenvalues (poles) most sensitive to parameter changes in large-scale system matrices. The effectiveness and robustness of the algorithm in tracing root-locus plots is illustrated by numerical results from the small-signal stability analysis of realistic power system models. The algorithm can be used in many other fields of engineering that also study the impact of parametric changes to linear system models.

Keywords

eigenvalues and eigenfunctions; linear systems; matrix algebra; power system interconnection; power system stability; root loci; large-scale system eigenvalues; linear system models; parameter changes; power system small-signal stability; root-locus plots; sensitive pole algorithm; Eigenvalues and eigenfunctions; Large-scale systems; Linear systems; Power engineering and energy; Power engineering computing; Power system analysis computing; Power system modeling; Power system stability; Robust stability; Stability analysis; Eigenvalues; eigenvalue sensitivity; large-scale eigenvalue problems; parametric stability margins; poles; power system dynamic stability; power system stability; root loci; small-signal stability; system oscillations; transfer functions;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2008.920050

Filename

4494608