DocumentCode :
3149107
Title :
Review of synchronous generator parameters estimation and model identification
Author :
Ghomi, M. ; Sarem, Y. Najafi
Author_Institution :
Islamic Azad Univ. of Toyserkan, Toyserkan
fYear :
2007
fDate :
4-6 Sept. 2007
Firstpage :
228
Lastpage :
235
Abstract :
In this article the review of synchronous generator parameter estimation and model identification presented. Synchronous generators play a very important role in the stability of power systems. A valid model for synchronous generators is essential for a reliable analysis of stability and dynamic performance. Almost three-quarters of a century after the first publications in this area, the subject is still a challenging and attractive research topic. There are many propositions for the determination of synchronous machine parameters. Among the modern techniques used are neural networks, finite elements, on-line and off-line statistical methods, frequency response, load rejection and others.
Keywords :
electric machine analysis computing; finite element analysis; machine theory; neural nets; parameter estimation; power system stability; statistical analysis; synchronous generators; finite element analysis; frequency response test; load rejection; model identification; neural networks; off-line statistical methods; on-line statistical methods; power system stability; synchronous generator parameter estimation; Parameter estimation; Performance analysis; Power system analysis computing; Power system dynamics; Power system modeling; Power system reliability; Power system stability; Stability analysis; Synchronous generators; Synchronous machines; Synchronous generator; model identification; parameter estimation; review;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Universities Power Engineering Conference, 2007. UPEC 2007. 42nd International
Conference_Location :
Brighton
Print_ISBN :
978-1-905593-36-1
Electronic_ISBN :
978-1-905593-34-7
Type :
conf
DOI :
10.1109/UPEC.2007.4468951
Filename :
4468951
Link To Document :
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