Pregled bibliografske jedinice broj: 333126
Neural Network Based Synchronous Generator Excitation Control
Neural Network Based Synchronous Generator Excitation Control // EDPE 2007 Proceedings
Košice, 2007. str. 1-6 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 333126 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Neural Network Based Synchronous Generator Excitation Control
Autori
Bulić, Neven ; Sumina, Damir ; Šimić, Toni
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
EDPE 2007 Proceedings
/ - Košice, 2007, 1-6
ISBN
978-80-8073-868-6
Skup
EDPE 2007
Mjesto i datum
Vysoké Tatry, Slovačka, 24.09.2007. - 26.09.2007
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Excitation control; Synchronous generator; Neural networks
Sažetak
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 one transmission line to AC power system. The simulation 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
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb