SIMULATION MODEL OF NEURAL NETWORK BASED SYNCHRONOUS GENERATOR EXCITATION CONTROL (CROSBI ID 547516)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Sumina, Damir ; Bulic, Neven ; Erceg, Gorislav
engleski
SIMULATION MODEL OF NEURAL NETWORK BASED SYNCHRONOUS GENERATOR EXCITATION CONTROL
Usage of Neural Network (NN) based excitation control on single machine infinite bus and its simulation studies are reported in this paper. The proposed feed forward neural network integrates a voltage regulator and a power system stabilizer. It is trained on-line from input and output signals of a synchronous generator. A modified error function used for training the neural network by the back propagation algorithm uses the reference and terminal voltage as controlling voltage and active power deviation to provide stabilization. The complete algorithm is simulated in Matlab Simulink. Synchronous generator (83 kVA, 50 Hz, 400V) is connected over transmission lines to AC power system. The proposed algorithm shows advantages of this method and satisfactory results.
Excitation system; synchronous generator; neural network
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Podaci o prilogu
571-575.
2008.
objavljeno
Podaci o matičnoj publikaciji
Podaci o skupu
13th International Power Electronics and Motion Control Conference (EPE-PEMC 2008)
poster
01.09.2008-03.09.2008
Poznań, Poljska