Incremental Detection Mechanism of a Microgrid under False Data Injection Attacks

In this study, we propose an attack detection mechanism based on the incremental analysis of state measurements to solve the problem of state estimation of the false data injection attacks in microgrid environments. By assuming the steady state of the system, the increment of the measured value of the system can be detected by χ² hypothesis testing, which can effectively detect well-designed attacks. We simulated the proposed method in Matlab. The experimental results denote that the proposed method can improve the detection accuracy of unsteady attacks under specific system conditions.