Artificial neural networks for power systems diagnosis

Author

Navarro, Victor ; da Silva, A.L. ; De Carvalho, Luis A V ; Zaverucha, Gerson

Author_Institution

COPPE, Univ. Federal do Rio de Janeiro, Brazil

Volume

6

fYear

1994

fDate

27 Jun- 2 Jul 1994

Firstpage

3738

Abstract

In this paper, we study the application of artificial neural networks to help a power system´s operator to diagnose the faults during a disturbance. Towards this goal, an analysis of the training and simulation of an intelligent alarm processor of a simplified power system generation plant is presented in detail. This system is capable of diagnosing not only single faults but also multiple ones, even when the associated alarm set is incomplete. The results obtained demonstrate that neural network is a very powerful and reliable method for the solution of existing problems in power systems

Keywords

electrical faults; fault diagnosis; fault location; neural nets; power system analysis computing; artificial neural networks; disturbance; fault diagnosis; intelligent alarm processor; power systems diagnosis; Analytical models; Artificial intelligence; Artificial neural networks; Neural networks; Power generation; Power system analysis computing; Power system faults; Power system reliability; Power system simulation; Power systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1901-X

Type

conf

DOI

10.1109/ICNN.1994.374804

Filename

374804