DocumentCode :
3185226
Title :
Out-of-step protection with AI methods
Author :
Rebizant, W. ; Feser, K.
Author_Institution :
Wroclaw Univ. of Technol., Poland
fYear :
2001
fDate :
2001
Firstpage :
295
Lastpage :
298
Abstract :
In the paper the results of investigations on the application of artificial intelligence (AI) methods to the out-of-step (OS) protection of synchronous machines are presented. The main efforts have been focused on development of new artificial neural network (ANN) based and mixed protection techniques which should ensure better (faster and more secure) detection of generator loss of synchronism. The designed AI-based OS protection schemes have been thoroughly optimised and tested with EMTP-generated case signals. Wide robustness analysis as well as comparison with chosen standard OS detection method have also been performed
Keywords :
fuzzy neural nets; inference mechanisms; machine protection; power engineering computing; synchronous generators; AI methods; EMTP-generated case signals; artificial neural network; fuzzy inference system; generator loss of synchronism detection; mixed protection techniques; out-of-step protection; robustness analysis; synchronous machines;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Developments in Power System Protection, 2001, Seventh International Conference on (IEE)
Conference_Location :
Amsterdam
ISSN :
0537-9989
Print_ISBN :
0-85296-732-2
Type :
conf
DOI :
10.1049/cp:20010158
Filename :
929321
Link To Document :
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