An FDI Resilient Dynamic Average Distributed Control for DC Microgrids

Abstract

The distributed control DC microgrids with inte grated communication technologies form cyber-physical systems. Cyber-physical DC microgrids rely on peer-to-peer (P2P) com munication to regulate average voltage and share proportional power. These P2P communications have greater exposure and increase the possibility of cyber intrusions. This paper aims to develop a cyber-resilient dynamic average consensus control for an autonomous DC microgrid. The proposed dynamic average resilient controller is designed to accurately track the DC micro grid network average voltage despite false data injections (FDI) attacks and also restores average voltage to nominal value while ensuring proportional current sharing. The proposed approach eliminates the need for full network connectivity and without any restrictions on the number of agents attacked. The convergence studies are carried out using input-to-state stability analysis. Further, the simulation results validate the proposed controllers efficacy against actuator and communication layer FDI attacks