A Study on Power System State Estimation Based on Neural Networks (CROSBI ID 504592)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa
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
304-x.
2004.
objavljeno
Podaci o matičnoj publikaciji
Prvi kongres hrvatskih znanstvenika iz domovine i inozemstva - Zbornik sažetaka postera
Kniewald, Zlatko
Zagreb: Akademija tehničkih znanosti Hrvatske (HATZ)
Podaci o skupu
Prvi kongres hrvatskih znanstvenika iz domovine i inozemstva,
poster
15.11.2004-19.11.2004
Vukovar, Hrvatska; Zagreb, Hrvatska