Title :
Transmission line distance relaying using on-line trained neural networks
Author :
Osman, H. ; Abdelazim, Tamer ; Malik, O.P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Calgary, Canada
fDate :
4/1/2005 12:00:00 AM
Abstract :
A transmission line distance relaying technique using an on-line trained neural network (NN) is developed. Results of numerical simulation and experimental studies show very good accuracy and fast estimation of distance to fault for various faults under different operating conditions, high fault resistance, and remote-end feed.
Keywords :
neural nets; power system analysis computing; power system relaying; power transmission faults; power transmission protection; distance to fault; fault resistance; on-line trained neural networks; operating conditions; remote-end feed; transmission line distance relaying; Differential equations; Digital relays; Impedance; Neural networks; Power system protection; Power system relaying; Power transmission lines; Protective relaying; Transmission line theory; Transmission lines; Distance protection relaying; neural networks; power systems;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2004.833897
