Title :
Artificial neural networks in power system topology recognition
Author :
M. Delimar;I. Pavic;Z. Hebel
Author_Institution :
Dept. of Power Syst., Zagreb Univ., Croatia
fDate :
6/25/1905 12:00:00 AM
Abstract :
This paper presents an artificial neural network based model for identifying anomalies in the reported power system topology. The results obtained using a multilayer perceptron with backpropagation learning algorithm are presented and discussed.
Keywords :
"Artificial neural networks","Intelligent networks","Power systems","Network topology","Power system modeling","System testing","Switches","Multi-layer neural network","Neural networks","State estimation"
Conference_Titel :
EUROCON 2003. Computer as a Tool. The IEEE Region 8
Print_ISBN :
0-7803-7763-X
DOI :
10.1109/EURCON.2003.1248201
