Title :
Neural networks for topology determination of power systems
Author :
Da Silva, A. P Alves ; Quintana, V.H. ; Pang, G.K.H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Abstract :
The authors describe a parallel distributed topology classifier. The idea is to determine the system configuration in a very fast way, even in the presence of incorrect or unavailable switch/breaker status and analog measurements. A new supervised learning algorithm suitable for very large training sets is introduced
Keywords :
learning (artificial intelligence); neural nets; power system analysis computing; switchgear; AI; circuit breakers; neural nets; parallel distributed topology classifier; power system analysis computing; supervised learning algorithm; switchgear; training sets; Artificial neural networks; Encoding; Load flow analysis; Multilayer perceptrons; Network topology; Neural networks; Power systems; Redundancy; SCADA systems; Switches;
Conference_Titel :
Neural Networks to Power Systems, 1991., Proceedings of the First International Forum on Applications of
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0065-3
DOI :
10.1109/ANN.1991.213459
