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