DocumentCode :
1840711
Title :
Parametric variations of induction machine models: a statistical characterization
Author :
Stankovic, Aleksandar M. ; Lesieutre, Bernard C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Northeastern Univ., USA
fYear :
1995
fDate :
28-29 Sep 1995
Firstpage :
973
Lastpage :
978
Abstract :
In this paper we present a statistical characterizations of eigenstructure changes of a linearized model describing power system load dynamics. We consider examples of induction machines with different ratings, and allow for wide variations of electrical and mechanical parameters. We describe a stochastic norm approach as means to efficiently describe the model variations without having to perform repeated eigenvalue calculations
Keywords :
asynchronous machines; eigenstructure changes; electrical parameters; induction machine models; linearized model; mechanical parameters; parametric variations; power system load dynamics; statistical characterization; stochastic norm approach; Aggregates; Eigenvalues and eigenfunctions; Induction machines; Induction motors; Load modeling; Power demand; Power system dynamics; Power system modeling; Stochastic processes; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 1995., Proceedings of the 4th IEEE Conference on
Conference_Location :
Albany, NY
Print_ISBN :
0-7803-2550-8
Type :
conf
DOI :
10.1109/CCA.1995.555887
Filename :
555887
Link To Document :
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