Enhancing Power System Resilience with False Data Injection-Resistant Model Predictive Control

This paper proposes a resilient control scheme based on the set theory and model for cyber power systems subjected to network deception attacks. For the problem of deception attacks through false data injection (FDI) in the power system, this paper studies the model predictive control scheme that makes use of tube. Based on the characteristics of the robust positive invariant set that has been defined, an optimization problem (referred to as OP) is formulated to design the controller. The feasibility of this optimization problem and the practical stability of the controlled system are ensured. To demonstrate the efficacy of the proposed approach, a numerical simulation on cyber system is conducted on a power system. The results of the simulation serve as verification of the effectualness of the proposed scheme.