Pregled bibliografske jedinice broj: 1057284
Application of artificial neural networks for external network equivalent modeling
Application of artificial neural networks for external network equivalent modeling // Journal of Energy, 64 (2015), 275-284 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1057284 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Application of artificial neural networks for
external network equivalent modeling
Autori
Pavić, Ivica ; Tomašević, Frano ; Damjanović, Ivana
Izvornik
Journal of Energy (0013-7448) 64
(2015);
275-284
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
External Network Equivalent, Load Flow Analysis, Artificial Neural Network
Sažetak
In this paper an artificial neural network (ANN) based methodology is proposed for determining an external network equivalent. The modified Newton- Raphson method with constant interchange of total active power between internal and external system is used for solving the load flow problem. A multilayer perceptron (MLP) with backpropagation training algorithm is applied for external network determination. The proposed methodology was tested with the IEEE 24-bus test network and simulation results show a very good performance of the ANN for external network modeling.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Sveučilište u Zagrebu
Citiraj ovu publikaciju:
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