Decentralized Attack-Resilient CLF-Based Control of Nonlinear DC Microgrids under FDI Attacks

A team of researchers has unveiled a breakthrough decentralized control framework designed to secure next-generation DC microgrids against sophisticated cyber-physical attacks. The work, titled 'Decentralized Attack-Resilient CLF-Based Control of Nonlinear DC Microgrids under FDI Attacks,' introduces an AR-CLF (Attack-Resilient Control Lyapunov Function) based Quadratic Program (QP) controller. This system is engineered to maintain stability in nonlinear microgrids populated by converter-interfaced distributed energy resources (DERs) like solar and battery storage, which are notoriously vulnerable.

The technical core addresses a critical weakness in existing methods like droop control, which lack resilience when systems operate in nonlinear regions or face diverse false-data-injection (FDI) attacks. The novel controller, built on a port-Hamiltonian system representation, dynamically compensates for attacks—including exponentially unbounded control-input perturbations that exceed the bounded-attack assumptions of prior research. It achieves this through an adaptive resilience term embedded in a QP formulation, all while operating in a fully decentralized manner without requiring global system information.

Accepted for the IEEE PES General Meeting 2026, this research provides a physically consistent control paradigm for the future grid. Simulations validate that the AR-CLF QP controller achieves superior stability and resilience against unbounded attacks. The practical implication is a scalable blueprint for protecting critical renewable energy infrastructure from malicious actors, ensuring reliability as dependence on decentralized, nonlinear power sources grows. This moves beyond theoretical security to deliver a implementable control strategy for real-world cyber-physical defense.