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• W4205341712 abstract "Recent cyber-attacks on power systems have demonstrated that their secure operation can be threatened by malicious threats on their components. Hence, with respect to the role of energy storages (ESs) in smart microgrids (MGs), they can be an attractive target. In this case, by charging and discharging and wasting ES's stored energy at improper time intervals or preventing them from working when they are needed, attackers can increase the system operation cost or cause technical constraints violence. Here, a bilevel mixed-integer programming model is presented for modeling data intrusion attacks (DIA) on an ES unit for vulnerability assessment of MG operation. In this model, the operation cost of MG is maximized by determining false values of ES charging and discharging values and attack launching time. Numerical results show that ES's charging and discharging rates can influence the resilience of the MG against DIA." @default.
• W4205341712 created "2022-01-26" @default.
• W4205341712 creator A5020760947 @default.
• W4205341712 creator A5031223535 @default.
• W4205341712 date "2021-12-07" @default.
• W4205341712 modified "2023-09-27" @default.
• W4205341712 title "Modeling Data Intrusion Attacks on Energy Storage for Vulnerability Assessment of Smart Microgrid Operation" @default.
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• W4205341712 doi "https://doi.org/10.1109/sgc54087.2021.9664207" @default.
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