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
Link To Document :
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