Cyber-Induced Voltage Deviation Detection and Mitigation in DC Microgrids Under Operational Constraints

DC microgrids operate under a hierarchical control strategy that relies on communication-based layers for effective power management. However, the integration of digital controllers and communication networks makes them vulnerable to cyber threats, particularly False Data Injection Attacks (FDIAs). These attacks manipulate sensor data, leading to incorrect control actions that can cause voltage deviations, excessive current draw, or even system failure. This paper proposes a Fault Data Detection and Mitigation (FDDM) control strategy to detect and counteract cyber-induced voltage deviations in DC microgrids. The method leverages system constraints and real-time voltage monitoring of neighboring buses to identify and mitigate FDIAs. By analyzing voltage deviations and error signals, FDDM ensures that bus voltages remain within safe operational limits, preventing disruptions in duty cycle control. The proposed approach is validated through MATLAB/Simulink simulations under various load variations, cyberattack scenarios, and system constraints. The results demonstrate the effectiveness of FDDM in maintaining system stability, ensuring secure operation, and mitigating the impact of cyber threats on DC microgrids.