Title :
A novel approach for fault location on transmission lines
Author :
Tawfik, Mohamed M ; Morcos, M.M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS
fDate :
11/1/1998 12:00:00 AM
Abstract :
A new approach for power transmission line fault location is investigated. The fault locator estimation is based on the noise generated by the fault in the sending-end current signal. The proposed scheme consists of a wavelet-based filter module, a Prony-based signal processor and an ANN-based estimator. Input data has been generated using the Alternative Transient Program (ATP). A three-phase, frequency-dependent (FD) transmission line model was used. The scheme is tested using data employed in the ANN training as well as new data sets. The proposed locator has a good level of accuracy
Keywords :
fault location; filtering theory; learning (artificial intelligence); neural nets; power system analysis computing; power transmission lines; transmission line theory; wavelet transforms; Alternative Transient Program; Prony-based signal processor; artificial neural networks; computer simulation; data sets; fault location approach; fault noise generation; input data generation; power transmission line; three-phase frequency-dependent power line model; training; wavelet-based filter module; Fault location; Filters; Frequency; Noise generators; Power system transients; Power transmission lines; Signal generators; Signal processing; Testing; Transmission lines;
Journal_Title :
Power Engineering Review, IEEE
