DocumentCode
1372953
Title
Integrity Data Attacks in Power Market Operations
Author
Xie, Le ; Mo, Yilin ; Sinopoli, Bruno
Author_Institution
Depts. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
Volume
2
Issue
4
fYear
2011
Firstpage
659
Lastpage
666
Abstract
We study the economic impact of a potential class of integrity cyber attacks, named false data injection attacks, on electric power market operations. In particular, we show that with the knowledge of the transmission system topology, attackers may circumvent the bad data detection algorithms equipped in today´s state estimator. This, in turn, may be leveraged by attackers for consistent financial arbitrage such as virtual bidding at selected pairs of nodes. This paper is a first attempt to formalize the economic impact of malicious data attacks on real-time market operations. We show how an attack could systematically construct a profitable attacking strategy, in the meantime being undetected by the system operator. Such a result is also valuable for the system operators to examine the potential economic loss due to such cyber attack. The potential impact of the false data injection attacks is illustrated on real-time market operations of the IEEE 14-bus system.
Keywords
power markets; power system economics; power system state estimation; IEEE 14-bus system; data detection algorithm; electric power market operation; false data injection attack; financial arbitrage; integrity cyber data attack; malicious data attack; state estimator; transmission system topology; virtual bidding; Computer security; Power systems planning; Real time systems; Sensor systems; State estimation; Cyber security; economic dispatch; electricity markets; false data injection attack; locational marginal price; state estimation;
fLanguage
English
Journal_Title
Smart Grid, IEEE Transactions on
Publisher
ieee
ISSN
1949-3053
Type
jour
DOI
10.1109/TSG.2011.2161892
Filename
6074981
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