Scenario Based Local AC Sparse False Data Injection Attack on Smart Grid

Stealthy false data injection attack can evade the detection of state estimation and so put the smart grid in danger because the wrong states will affect the decision making in dispatch center. Therefore, it is crucial to study the impacts of cyber-attacks on smart grid and thus improve its security. Uased on the characteristic of false data injection attack, a power flow scenario based bi-level sparse cyber-attack model of AC grid with incomplete information is proposed in this paper. The proposed model is able to find the most vulnerable scenarios of the power grid. In this scenario, attackers are more likely to launch cyber-attacks, thereby this is crucial to the study of defense mechanisms against cyberattacks. Finally, the effectiveness of the proposed method is verified on standard IEEE 30-bus system.