DocumentCode :
2576220
Title :
An autonomous agent-based framework for self-healing power grid
Author :
Noorian, Zeinab ; Hosseini, Hadi ; Ulieru, Mihaela
Author_Institution :
Dept. of Comput. Sci., Univ. of New Brunswick, Fredericton, NB, Canada
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
1983
Lastpage :
1988
Abstract :
Reliable, secure and robust power grid network is a necessity for crucial financial, industrial and business networks. Since national electrical grid, telecommunication, information networks and transportation networks are interdependent critical infrastructures, having an agent-based self-healing framework to reduce cascading failures through the networks and finding reasonable solution for potential faults - would be an essential asset. In response to this need we propose a self-healing framework that employs advanced failure diagnosis techniques along with autonomous Web services to provide temporary recovery solutions. Furthermore, it provides a cognitive planning cycle to find ultimate corrective solutions as well as evaluation service to verify the effectiveness and performance of the final solution.
Keywords :
Web services; fault diagnosis; fault tolerant computing; multi-agent systems; power engineering computing; power grids; power system reliability; power system security; autonomous Web service; autonomous agent-based framework; business network; cascading failure reduction; cognitive planning cycle; failure diagnosis technique; financial network; industrial network; multiagent framework; reliable power grid; secure selfhealing power grid; Communication system control; Computer science; Intelligent sensors; Performance analysis; Power generation; Power grids; Power system faults; Power system protection; Sensor arrays; Web services; Autonomous web service; Failure detection; hierarchal self-healing framework; power grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2009.5346576
Filename :
5346576
Link To Document :
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