Resilient Control of Power Electronic Converters Under Sensor and Control Input Uncertainty

This paper proposes an innovative adaptive vector current control scheme designed for power converter systems. Even with efficient upper-layer control strategies in place in modernized power grids, vulnerabilities remain at the primary control level (or device level), exposing inverter-based resources (IBRs) to cyber attacks or other forms of uncertainties. The control objective is to mitigate the destructive effects of sensor and control input uncertainty. The theoretical framework of Lyapunov theory is employed for stability analysis and to prove the uniform boundedness of the power converter closed-loop control system. Although developed for three-phase 2-level gridfollowing IBRs, the approach is broadly applicable to various power converters such as 2-level, modular multilevel converters, and solid-state transformers, as long as their dynamic models can be linearized. This makes it a versatile solution for enhancing security across a range of power electronic converter systems. Comparative simulations highlight the effectiveness and efficiency of the proposed adaptive control scheme.