Author :
Tawfik, Mohamed M ; Morcos, M.M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
Abstract :
The Prony method is applied to loop systems to extract modal information for locating faults on transmission lines. Artificial neural networks (ANNs) are used as the inference tool. The accuracy of the method is demonstrated to be good.
Keywords :
fault location; neural nets; power system analysis computing; power transmission faults; power transmission lines; EHV lines protection; Prony method; artificial neural networks; faults location; inference tool; loop systems; modal information; transmission lines; travelling waves; Application software; Artificial neural networks; Fault detection; Fault location; Frequency; ISO; Power engineering; Power transmission lines; Vehicles; Voltage;
Journal_Title :
Power Engineering Review, IEEE
