Artificial neural networks as a dispatcher´s aid in alarm processing

Author

Karunakaran, Roy ; Karady, George G.

Author_Institution

Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA

fYear

1991

fDate

23-26 Jul 1991

Firstpage

169

Lastpage

173

Abstract

The authors propose a method by which a set of artificial neural networks (ANNs) can be used as a dispatchers´ aid in alarm processing. The proposed model consists of two parts-a rule based system and a set of neural networks. Depending on the input that is fed to the system, a set of rules that make up the rule based system, are used to activate one or more ANNs. Each ANN in the system is used to identify the faults in a single sub-station or a particular zone. The rule based system is also used to aid the ANNs in identifying multiple faults, by activating them in the required order and providing them with the necessary alarms as inputs

Keywords

alarm systems; knowledge based systems; load dispatching; neural nets; power system computer control; alarm processing; artificial neural networks; load dispatching; multiple faults; power system computer control; rule based system; Artificial neural networks; Circuit faults; Diagnostic expert systems; Expert systems; Fault diagnosis; Intelligent networks; Knowledge based systems; Neural networks; Power system faults; Power system relaying;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks to Power Systems, 1991., Proceedings of the First International Forum on Applications of

Conference_Location

Seattle, WA

Print_ISBN

0-7803-0065-3

Type

conf

DOI

10.1109/ANN.1991.213484

Filename

213484