Innovative Observer-Based Framework for Attack Reconstruction and Mitigation in AC Microgrids

In this article, an observer-based technique is proposed to address false data injection attacks (FDIAs) in ac microgrids (MGs). To achieve this, unknown input observers (UIOs) are developed in each distributed generation (DG) unit according to the number of its neighbors to estimate the states of the neighboring DGs. The equations of each DG are augmented by considering attack signals in the voltage and current channels, which serve as communication links between the neighboring DGs. The proposed method is then utilized to detect the FDIAs by estimating the states of all neighboring units. After reconstructing the attacks, their destructive impacts are mitigated by purifying the contaminated signals. Simulation results demonstrate the effectiveness of the proposed scheme in providing accurate frequency and voltage regulation, as well as active and reactive power sharing among DGs.