Naslov
Neural Network Based Excitation Control of Synchronous Generator

Autori
Bulic, Neven ; Krasser, Edwin ; Erceg, Igor

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
IEEE Region 8 Eurocon 2007 Proceedings / - Varšava : Institute of Electrical and Electronics Engineers (IEEE), 2007, 1935-1941

ISBN
1-4244-0813-X

Skup
Eurocon 2007

Mjesto i datum
Varšava, Poljska, 09.09.2007. - 12.09.2007

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
neural networks; synchronous generator; DSP

Sažetak
Abstract — usage of Neural Networks' (NN) based excitation control on single machine infinite bus, its implementation and experimental studies have been reported earlier. 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 control algorithm is implemented on a fixed point DSP and tested in laboratory environment on an 83 kVA, 50 Hz synchronous generator connected over one transmission line to network. The experimental results described in this paper show advantages of this method over classic control method (an excitation current loop with P controller and a terminal voltage loop with PI controller).

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA