DocumentCode
1307780
Title
Reducibility and eigenvalue sensitivity for identifying critical generators in multimachine power systems
Author
Aijarapu, V.
Author_Institution
Dept. of Electr. Eng. & Comput. Eng., Iowa State Univ., Ames, IA
Volume
5
Issue
3
fYear
1990
fDate
8/1/1990 12:00:00 AM
Firstpage
712
Lastpage
719
Abstract
A selection procedure to identify critical generators to be equipped with power system stabilizers is proposed. The selection is based on the sensitivity of critical eigenvalues to a parameter of the state coefficient matrix. Critical generators are identified by observing the sensitivities of the eigenvalues with respect to parameters which affect the damping of the machine rotor oscillation. These parameters are the diagonal elements of the coefficient matrix. Unlike other methods, the proposed method for calculating eigenvalue sensitivity does not require any eigenvectors. There are also no derivatives involved. One of the main advantages of this method is that it shows the dependence of eigenvalue sensitivity on power system structure; this may be helpful in reducing the size of the system. The effectiveness of the method is described through the application to a multi-machine power system dynamic model
Keywords
electric generators; matrix algebra; power systems; critical generators; damping; eigenvalue sensitivity; machine rotor oscillation; multimachine power systems; stabilizers; state coefficient matrix; Damping; Eigenvalues and eigenfunctions; Equations; Power engineering computing; Power generation; Power system analysis computing; Power system dynamics; Power system modeling; Power system stability; Power systems;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.65897
Filename
65897
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