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

Volume

16

Issue

1

fYear

2001

fDate

1/1/2001 12:00:00 AM

Firstpage

59

Lastpage

67

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;

fLanguage

English

Journal_Title

Power Delivery, IEEE Transactions on

Publisher

ieee

ISSN

0885-8977

Type

jour

DOI

10.1109/61.905590

Filename

905590