Journal article
Security Games for Risk Minimization in Automatic Generation Control
Yee Wei Law, Tansu Alpcan, Marimuthu Palaniswami
IEEE TRANSACTIONS ON POWER SYSTEMS | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2015
Abstract
The power grid is a critical infrastructure that must be protected against potential threats. While modern technologies at the center of the ongoing smart grid evolution increase its operational efficiency, they also make it more susceptible to malicious attacks such as false data injection to electronic monitoring systems. This paper presents a game-theoretic approach to smart grid security by combining quantitative risk management techniques with decision making on protective measures. The consequences of data injection attacks are quantified using a risk assessment process where the well-known conditional value-at-risk (CVaR) measure provides an estimate of the defender's loss due to load..
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Grants
Awarded by ARC
Awarded by EC
Awarded by Australian Research Council
Funding Acknowledgements
The work of Y. W. Law was supported in part by the ARC under contracts LP120100529 and LE120100129, and in part by the EC under contract CNECT-ICT-609112 (SOCIOTAL). Paper no. TPWRS-01079-2013.