DocumentCode :
91960
Title :
Integrity Assessment Scheme for Situational Awareness in Utility Automation Systems
Author :
Mohagheghi, Salman
Author_Institution :
Electr. Eng. & Comput. Sci. Dept., Colorado Sch. of Mines, Golden, CO, USA
Volume :
5
Issue :
2
fYear :
2014
fDate :
Mar-14
Firstpage :
592
Lastpage :
601
Abstract :
Today´s more reliable communication technology, together with the availability of higher computational power, have paved the way for introduction of more advanced automation systems based on distributed intelligence and multi-agent technology. However, abundance of data, while making these systems more powerful, can at the same time act as their biggest vulnerability. In a web of interconnected devices and components functioning within an automation framework, potential impact of malfunction in a single device, either through internal failure or external damage/intrusion, may lead to detrimental side-effects spread across the whole underlying system. The potentially large number of devices, along with their inherent interrelations and interdependencies, may hinder the ability of human operators to interpret events, identify their scope of impact and take remedial actions if necessary. Through utilization of the concepts of graph-theoretic fuzzy cognitive maps (FCM) and expert systems, this paper puts forth a solution that is able to reveal weak links and vulnerabilities of an automation system, should it become exposed to partial internal failure or external damage. A case study has been performed on the IEEE 34-bus test distribution system to show the efficiency of the proposed scheme.
Keywords :
cognitive systems; expert systems; fuzzy set theory; graph theory; power distribution control; unsupervised learning; FCM; IEEE 34-bus test distribution system; advanced automation systems; automation framework; automation system vulnerabilities; distributed intelligence; expert systems; external damage; graph-theoretic fuzzy cognitive maps; human operators; integrity assessment scheme; interconnected devices; multiagent technology; partial internal failure; utility automation systems; Artificial intelligence; Automation; Capacitors; Fuzzy cognitive maps; Power systems; State estimation; Switches; Automation system; event analysis; fuzzy cognitive map; monitoring; situational awareness;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2013.2283260
Filename :
6732971
Link To Document :
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