DocumentCode :
2396909
Title :
Neural network based generator-transformer protection
Author :
Lu, Yu-Ping ; Lai, L.L. ; Tang, Guo-Qing
Author_Institution :
Dept. of Electr. Eng., Southeast Univ., Nanjing, China
Volume :
7
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
4295
Abstract :
This work proposes a new technique and method for application of artificial neural network (ANN) to protect generator transformer unit. This technique combines conventional generator protection theory developed through several decades with intelligent ANN technique. This combination promotes an effective approach to developing protective relays of superior performance and high reliability.
Keywords :
electric generators; electrical engineering computing; machine protection; neural nets; power system protection; relay protection; transformer protection; artificial neural network; generator protection theory; generator-transformer protection; intelligent ANN technique; power system reliability; protective relays; Artificial neural networks; Circuit faults; Neural networks; Power generation; Power system faults; Power system protection; Power system relaying; Power system reliability; Power system stability; Protective relaying;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
Type :
conf
DOI :
10.1109/ICMLC.2004.1384592
Filename :
1384592
Link To Document :
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