Title :
Fault location in electrical power systems using intelligent systems techniques
Author :
Souza, J.C.S. ; Rodrigues, M.A.P. ; Schilling, Marcus Theodor ; Filho, Milton Brown Do Coutto
Author_Institution :
Dept. of Appl. Comput. & Autom., Univ. Federal Fluminense, Niteroi, Brazil
fDate :
1/1/2001 12:00:00 AM
Abstract :
In this work an artificial neural network based methodology is proposed for power systems fault location. Several artificial neural networks are employed, each of them being responsible for detecting faults involving a limited number of components. The proposed methodology is tested using a test system and a real Brazilian system. Indexes based on the Hamming distance are also proposed for feature selection and analysis
Keywords :
fault location; neural nets; pattern recognition; power system analysis computing; power system measurement; power system protection; Brazilian system; Hamming distance; artificial neural networks; electrical power systems; fault location; feature analysis; feature selection; intelligent systems techniques; pattern recognition; power system monitoring; power system protection; power systems fault location; test system; Artificial intelligence; Artificial neural networks; Control systems; Electrical fault detection; Fault location; Intelligent systems; Power system analysis computing; Power system faults; Power system protection; System testing;
Journal_Title :
Power Delivery, IEEE Transactions on
