Title :
High speed transmission line directional protection evaluation using field data
Author :
Sanaye-Pasand, M. ; Malik, O.P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada
fDate :
31 Jan-4 Feb 1999
Abstract :
Summary form only given as follows. Performance of an Elman recurrent network-based relay to determine the fault direction on a transmission line on fault data recorded in the field is described in this paper. The network uses samples of voltage and current signals to learn the hidden relationship existing in the input patterns. Studies show that the proposed network is able to identify the fault direction correctly and rapidly. Results obtained indicate that the proposed network is robust, fast and accurate.
Keywords :
power engineering computing; power transmission lines; power transmission protection; recurrent neural nets; Elman recurrent network-based relay; current signals; directional comparison protection; fault data; fault direction determination; field data; hidden relationship; high speed transmission line directional protection; input patterns; recurrent neural networks; transmission line; transmission line protection; voltage signals; Fault diagnosis; Power system protection; Protective relaying; Recurrent neural networks; Robustness; Testing; Transmission lines; Voltage;
Conference_Titel :
Power Engineering Society 1999 Winter Meeting, IEEE
Print_ISBN :
0-7803-4893-1
DOI :
10.1109/PESW.1999.747301