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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-3280-6
DOI :
10.1109/ICSMC.1996.569895
