Privacy-Preserving Distributed Control for DC Microgrids Resilient to Unbounded False-Data-Injection Attacks
A leader-follower consensus control framework for DC microgrids that maintains voltage regulation and proportional load sharing under exponentially unbounded false-data-injection attacks. Adaptive coupling and damping gains counter fast-growing attack signals while an output-mask mechanism preserves each converter's data privacy, with Lyapunov analysis guaranteeing uniformly ultimately bounded stability.
2501.00588
Presents a fully distributed secondary control framework for DC microgrids that keeps voltage regulation and proportional load sharing stable when follower converters are hit by exponentially unbound…