Title :
Transient identification in composite conductor circuits using fuzzy neural network
Author :
Wang, G.S. ; Bo, Z.Q. ; Wang, P.Y.
Author_Institution :
Groupe Schneider, UK
Abstract :
This paper presents a method for transient identification in composite conductor circuits using fuzzy neural networks (FNN), in which a special designed detector is employed to capture transient signals induced by faults and switching operations, which produces training samples for the fuzzy neural network. A digital modeling is conducted on a typical 400 kV composite conductor circuit, and the test results have proven that the FNN is able to identify a fault or a switching operation under various system and fault conditions
Keywords :
fuzzy neural nets; power system faults; power system simulation; power system transients; 400 kV; composite conductor circuits; computer simulation; fault identification; fuzzy neural network; power systems; switching operations; transient identification; transient signals capture; Circuit faults; Circuit testing; Conductors; Detectors; Electrical fault detection; Fault detection; Fault diagnosis; Fuzzy neural networks; Signal design; Switching circuits;
Conference_Titel :
Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4754-4
DOI :
10.1109/ICPST.1998.729209
