Pregled bibliografske jedinice broj: 49629
An External Power System Equivalent Based on a Neural Network
An External Power System Equivalent Based on a Neural Network // Proceedings of the IASTED International Conference Modelling and Simulation
Pittsburgh (PA): International Association of Science and Technology for Development (IASTED), 2000. str. 92-96 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 49629 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
An External Power System Equivalent Based on a Neural Network
Autori
Pavić, Ivica ; Hebel, Zdravko ; Delimar, Marko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the IASTED International Conference Modelling and Simulation
/ - Pittsburgh (PA) : International Association of Science and Technology for Development (IASTED), 2000, 92-96
Skup
IASTED International Conference Modelling and Simulation
Mjesto i datum
Pittsburgh (PA), Sjedinjene Američke Države, 05.2000
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
power system; external system equivalents; neural networks; contingency analysis; load flow
Sažetak
Neighboring powers systems often do not exchange enough data for quality load flow and contingency analysis within a single system. This is why external systems often have to be substituted with their equivalents. This paper explores the possibilities of using an artificial neural network as the external power system equivalent for the purposes of load flow and contingency analysis in the internal power system. The IEEE 24-node test network is divided into two systems (the internal and the external) and the external system is modeled by a neural network. The results are presented and discussed.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
