Real-time security monitoring of electric power systems using parallel associative memories

Author

Sobajic, Dejan J. ; Pao, Yoh-Han ; Njo, Wanto ; Dolce, James L.

Author_Institution

Case Western Res. Univ., Cleveland, OH, USA

fYear

1990

fDate

1-3 May 1990

Firstpage

2929

Abstract

A methodology for the monitoring of power system security, developed with emphasis on the efficient processing of large amounts of data gathered through communication channels in real time, is presented. The approach is based on the adaptive pattern recognition concept and its implementation on parallel distributed computational architectures of artificial neural networks. Clusterwise continuous associative maps are established through data self-organization encompassing a variety of system operating regimes and topological configurations of the transmission network. Accurate and very fast information retrieval characterizes the real-time behavior of the distributed information processing system

Keywords

computerised pattern recognition; content-addressable storage; neural nets; parallel architectures; power system computer control; power system protection; adaptive pattern recognition concept; artificial neural networks; communication channels; data self-organization; distributed information processing system; electric power systems; monitoring; parallel associative memories; parallel distributed computational architectures; power system security; real time; system operating regimes; topological configurations; transmission network; Communication channels; Communication system security; Computer networks; Concurrent computing; Data security; Distributed computing; Monitoring; Pattern recognition; Power system security; Real time systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1990., IEEE International Symposium on

Conference_Location

New Orleans, LA

Type

conf

DOI

10.1109/ISCAS.1990.112624

Filename

112624