Title :
Fault location in substations using artificial neural networks
Author :
Wanderley, M.A. ; Souza, J.C.S. ; Filho, M. B Do Coutto ; Schilling, M.Th.
Author_Institution :
Rio de Janeiro Electr. Co., Rio de Janeiro
Abstract :
This work presents a methodology for fault location in power substations. The proposed methodology employs artificial neural networks for alarm processing and identification of faulted components. Different approaches using neural networks are proposed, tested and compared. Simulation results using data from a real substation are presented.
Keywords :
fault location; neural nets; substations; alarm processing; artificial neural networks; fault location; identification; power substations; Artificial neural networks; Control systems; Fault diagnosis; Fault location; Pattern recognition; Performance evaluation; Power system protection; Power system simulation; Substation protection; Testing; Fault Location; Neural Networks; Pattern Recognition;
Conference_Titel :
Power Tech, 2005 IEEE Russia
Conference_Location :
St. Petersburg
Print_ISBN :
978-5-93208-034-4
Electronic_ISBN :
978-5-93208-034-4
DOI :
10.1109/PTC.2005.4524383
