Privacy-Preserving Distributed Defense Framework for DC Microgrids Against Exponentially Unbounded False Data Injection Attacks

TL;DR

This paper presents a distributed control framework for DC microgrids that enhances resilience against advanced false data injection attacks while preserving operational privacy, validated through stability analysis and hardware experiments.

Contribution

A novel fully distributed control framework with privacy-preserving mechanisms and stability guarantees against exponential false data injection attacks.

Findings

Effective resistance to EU-FDI attacks demonstrated

Maintains voltage regulation and load sharing under attack

Validated through hardware-in-the-loop experiments

Abstract

This paper introduces a novel, fully distributed control framework for DC microgrids, enhancing resilience against exponentially unbounded false data injection (EU-FDI) attacks. Our framework features a consensus-based secondary control for each converter, effectively addressing these advanced threats. To further safeguard sensitive operational data, a privacy-preserving mechanism is incorporated into the control design, ensuring that critical information remains secure even under adversarial conditions. Rigorous Lyapunov stability analysis confirms the framework's ability to maintain critical DC microgrid operations like voltage regulation and load sharing under EU-FDI threats. The framework's practicality is validated through hardware-in-the-loop experiments, demonstrating its enhanced resilience and robust privacy protection against the complex challenges posed by quick variant FDI attacks.