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