Title :
Adaptive distance relaying technique using on-line trained neural network
Author :
Osman, A.H. ; Abdelazim, Tamer ; Malik, O.P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada
Abstract :
A new transmission line distance relaying technique using an on-line trained neural network (NN) is developed. Numerical simulation studied are performed on a differential equation based transmission line model that includes the fault resistance and the remote-end infeed. The results obtained showed very good accuracy, fast estimation of distance to fault and a good estimate of fault resistance.
Keywords :
differential equations; fault tolerance; neural nets; power system simulation; power transmission lines; power transmission protection; relay protection; differential equation; distance protection relaying; fault resistance; online trained neural network; remote-end infeed; transmission line distance relaying technique; Differential equations; Frequency estimation; Impedance; Neural networks; Power system protection; Power system relaying; Power transmission lines; Protective relaying; Relays; Transmission line theory;
Conference_Titel :
Power Engineering Society General Meeting, 2003, IEEE
Print_ISBN :
0-7803-7989-6
DOI :
10.1109/PES.2003.1267442
