DocumentCode :
2045045
Title :
Application of artificial neural networks for assessment of protection operation and nonviable transients
Author :
Khederzadeh, M.
Author_Institution :
Power & Water Inst. of Technol., Iran
Volume :
1
fYear :
2004
fDate :
5-8 April 2004
Firstpage :
60
Abstract :
In this paper, ANN is used to establish the complicated relationship between the transient behavior of the power system following the clearing of a large disturbance and the operation of the protection relays, especially the distance relays. ANN is a valuable tool for such conditions that an extremely nonlinear relationship between input and output exists. At first the training patterns are prepared based on different operating points and contingencies. The selected ANN is then trained and finally the capability of the network is evaluated, based on the patterns that have not been in the training set.
Keywords :
neural nets; power system faults; power system protection; power system transients; relay protection; ANN; artificial neural networks; distance relays; nonlinear input/output relationship; nonviable transient assessment; post-disturbance transients; protection assessment; protection relays; training patterns;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Developments in Power System Protection, 2004. Eighth IEE International Conference on
ISSN :
0537-9989
Print_ISBN :
0-86341-385-4
Type :
conf
DOI :
10.1049/cp:20040063
Filename :
1364806
Link To Document :
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