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

2024/12/31 by Yi Zhang, Mohamadamin Rajabinezhad, Zhang, Yi +7
Computer Science · Engineering · #FOS: Electrical engineering #Network Security and Intrusion Detection #Smart Grid Security and Resilience #Software-Defined Networks and 5G #Systems and Control (eess.SY) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2501.00588

openalex publication_date 2024/12/31 · openalex created_date 2025/01/04 · openalex updated_date 2026/07/28

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.

Related

• False Data Injection Attacks and the Distributed Countermeasure in DC Microgrids
• Transient-Safe and Attack-Resilient Secondary Control in AC Microgrids Under Polynomially Unbounded FDI Attacks
• Distributed Resilient Control of DC Microgrids Under Generally Unbounded FDI Attacks
• Lyapunov-based Resilient Secondary Synchronization Strategy of AC Microgrids Under Exponentially Energy-Unbounded FDI Attacks
• Secondary Defense Strategies of AC Microgrids Against Generally Unbounded Attacks