Pregled bibliografske jedinice broj: 84181
A Study on Power System State Estimation Based on Neural Networks
A Study on Power System State Estimation Based on Neural Networks // Proceedings of the IASTED International Conference Power and Energy Systems / Contaxis ; Antonidakis (ur.).
Kreta, Grčka: ACTA Press, 2002. str. 72-76 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
A Study on Power System State Estimation Based on Neural Networks
Autori
Peharda, Domagoj ; Delimar, Marko ; Hebel, Zdravko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the IASTED International Conference Power and Energy Systems
/ Contaxis ; Antonidakis - : ACTA Press, 2002, 72-76
Skup
IASTED International Conference Power and Energy Systems
Mjesto i datum
Kreta, Grčka, 25.06.2002. - 28.06.2002
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
power system; state estimation; neural network.
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
