DocumentCode
305721
Title
Nonlinear simulation of hydroturbine governing system based on neural network
Author
Chang, Jiang ; Liu, Bingwen ; Cai, Weiyou
Author_Institution
Wuhan Univ. of Hydraulic & Electr. Eng., China
Volume
1
fYear
1996
fDate
14-17 Oct 1996
Firstpage
784
Abstract
According to the nonlinear, time varying, multiple variable and non-minimum phase characteristics of the turbine governing system, this paper takes advantage of the nonlinear transformation characteristic and highly parallel handling ability of the neural network to resolve the problem of nonlinear simulation of the hydroturbine governing system
Keywords
digital simulation; hydraulic turbines; hydroelectric power stations; neural nets; power engineering computing; power station control; highly parallel handling ability; hydroturbine governing system; neural network; nonlinear simulation; nonlinear time varying multiple variable nonminimum phase characteristics; nonlinear transformation characteristic; Blades; Frequency; Hydraulic turbines; Neural networks; Nonlinear equations; Nonlinear systems; Power generation; Power system reliability; Stability analysis; Water;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location
Beijing
ISSN
1062-922X
Print_ISBN
0-7803-3280-6
Type
conf
DOI
10.1109/ICSMC.1996.569895
Filename
569895
Link To Document