Impact of FDI Attack in Grid with Minimal Information

This paper investigates the covert threat of Stealthy False Data Injection (SFDI) attacks on microgrid state estimation, a vital aspect of energy distribution management. As cyber-attacks grow in sophistication, SFDI poses an insidious threat, capable of bypassing conventional bad data detection mechanisms and distorting system states. The study unravels the intricacies of these stealth attacks, elucidating their methodology, potential impacts, and their capacity to undermine microgrid reliability and safety. Through detailed analysis and simulation, the research proposes an innovative framework to enhance the cyber security of microgrid systems, specifically addressing the shortcomings of current bad data detection schemes. By deepening the understanding of SFDI attacks, this study aspires to contribute to the resilience of critical microgrid systems and to inspire further research into robust defense strategies.