DocumentCode
3362241
Title
The Research UL-P of Loss-of-Excitation Protection for Generator Based on the Artificial Neural Networks
Author
Fan Bo ; Li Xiaoquan ; Xue Peng ; Liu Junjie
Author_Institution
missile Inst., Air Force Eng. Univ., Sanyuan
fYear
2009
fDate
27-31 March 2009
Firstpage
1
Lastpage
4
Abstract
Simulated model of loss-of-excitation protection for generator is established in Matlab, and then taking advantage of BP neural networks which are most advantageous in recognizing patterns, the operation zone of the active power rotor criterion for loss-of-excitation protecting of generator is recognized. Comparing with conventional microcomputer protection using linear approximation, the result shows that the method of BP neural networks is accurate and superior.
Keywords
artificial intelligence; electric machine analysis computing; mathematics computing; neural nets; power system protection; synchronous generators; Matlab; artificial neural networks; generator protection; linear approximation; microcomputer protection; synchronous generator; Artificial neural networks; Circuit faults; Circuit simulation; Mathematical model; Packaging; Power generation; Power system modeling; Power system protection; Power system simulation; Rotors;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location
Wuhan
Print_ISBN
978-1-4244-2486-3
Electronic_ISBN
978-1-4244-2487-0
Type
conf
DOI
10.1109/APPEEC.2009.4918910
Filename
4918910
Link To Document