An External Power System Equivalent Based on a Neural Network (CROSBI ID 475909)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Pavić, Ivica ; Hebel, Zdravko ; Delimar, Marko
engleski
An External Power System Equivalent Based on a Neural Network
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.
power system; external system equivalents; neural networks; contingency analysis; load flow
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Podaci o prilogu
92-96-x.
2000.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the IASTED International Conference Modelling and Simulation
Pittsburgh (PA): International Association of Science and Technology for Development (IASTED)
Podaci o skupu
IASTED International Conference Modelling and Simulation
predavanje
01.01.2000-01.01.2000
Pittsburgh (PA), Sjedinjene Američke Države