DocumentCode
2195797
Title
On-line trained neurofuzzy distance relay with directional element
Author
Abdelazim, Tamer ; Osman, A.H. ; Malik, O.P.
Author_Institution
Dept. of Electr. & Comput., Calgary Univ., Alta., Canada
fYear
2004
fDate
6-10 June 2004
Firstpage
815
Abstract
A new directional element for an on-line trained neuro-fuzzy network (NFN) numerical distance relay is developed. Numerical simulation studies are performed on a differential equation based transmission line model that includes the fault resistance and the remote-end infeed. The fault direction is identified based on the +/- sign of the estimated fault distance. The results obtained show fast estimation of distance to the fault with accurate fault direction assessment.
Keywords
differential equations; fuzzy neural nets; power engineering computing; power transmission faults; power transmission lines; power transmission protection; relay protection; transmission line theory; differential equation; directional element; fault resistance; online trained neurofuzzy distance relay; remote-end infeed; transmission line model; Current transformers; Differential equations; Frequency estimation; Fuzzy neural networks; Impedance; Power system protection; Power system relaying; Power transmission lines; Protective relaying; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society General Meeting, 2004. IEEE
Print_ISBN
0-7803-8465-2
Type
conf
DOI
10.1109/PES.2004.1372930
Filename
1372930
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