A Study on Power System State Estimation Based on Neural Networks (CROSBI ID 483989)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Peharda, Domagoj ; Delimar, Marko ; Hebel, Zdravko
engleski
A Study on Power System State Estimation Based on Neural Networks
Power system control and analysis rely on power system state estimation for the information on the current state of the system. Conventional state estimation methods are computationally intensive and may give unpredictable results when redundancy is low and gross errors are present. This paper explores the potential of the application of neural networks in the area of static state estimation. Several types of neural networks were tried out. Best results were obtained with a multilayer perceptron with linear input and output layer. Multilayer perceptron development and results are discussed in detail.
power system; state estimation; neural network.
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Podaci o prilogu
72-76-x.
2002.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the IASTED International Conference Power and Energy Systems
Contaxis ; Antonidakis
ACTA Press
Podaci o skupu
IASTED International Conference Power and Energy Systems
predavanje
25.06.2002-28.06.2002
Kreta, Grčka