Title :
Distance protection based on Artificial Neural Networks
Author :
Straka, Libor ; Fandi, Ghaeth
Author_Institution :
Dept. of Electr. Power Eng., Czech Tech. Univ. in Prague, Prague, Czech Republic
Abstract :
In this paper we present a new approach to determine the presence of fault in near-real time conditions and to determine the fault existence in the given line length based on the implementation of Artificial Neural Networks (ANN´s) in the transmission lines, of an electrical power system.
Keywords :
fault diagnosis; neural nets; power engineering computing; power transmission lines; artificial neural networks; distance protection; electrical power system; transmission line fault; Artificial neural networks; Circuit faults; Fault detection; Power system stability; Power transmission lines; Training; Artificial Neural Networks; Electrical Power Systems; Fault classification; Fault detection; Fault distance; Power Transmission lines;
Conference_Titel :
Electric Power Engineering (EPE), Proccedings of the 2014 15th International Scientific Conference on
Conference_Location :
Brno
DOI :
10.1109/EPE.2014.6839435
