Application of ANN to power system fault analysis

Author

Lazim, Fadila Binti ; Hamzah, Noraliza ; Arsad, Pauziah Mohd

Author_Institution

Fac. of Electr. Eng., Universiti Teknologi AMRA, Selangor, Malaysia

fYear

2002

fDate

2002

Firstpage

269

Lastpage

273

Abstract

This paper presents the computer architecture development using Artificial Neural Network (ANN) as an approach for predicting fault in a large interconnected transmission system. Transmission line faults can be classified using the bus voltage and line fault current. Monitoring the performance of these two factors are very useful for power system protection devices. The ANN is designed to be incorporated with a matrix based software tool MATLAB Version 6.0, which deals with fault diagnosis in power system. In MATLAB software modules, the balanced and unbalanced fault can be simulated. The data generated from this software are to be used as training and testing sets in the Neural Ware Simulator.

Keywords

backpropagation; fault diagnosis; neural nets; power system analysis computing; power system interconnection; power transmission faults; power transmission lines; ANN; MATLAB; Neural Ware Simulator; artificial neural network; backpropagation; bus voltage; fault diagnosis; fault prediction; interconnected transmission system; line fault current; matrix based software tool; performance monitoring; power system fault analysis; power system protection devices; transmission line faults classification; Application software; Artificial neural networks; Computer architecture; MATLAB; Power system faults; Power system interconnection; Power system protection; Power system simulation; Power transmission lines; Transmission line matrix methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Research and Development, 2002. SCOReD 2002. Student Conference on

Print_ISBN

0-7803-7565-3

Type

conf

DOI

10.1109/SCORED.2002.1033109

Filename

1033109