Answers are grounded in this paper and cite their sources.
In this paper, we propose an adaptive cyber-enabled parametric feedback linearization (PFL) control scheme for transient stability of smart grids. Based on feedback linearization control theory, the distributed PFL controller utilizes a distributed energy storage system to modify the dynamics of the power system during transients. We consider cyber attacks on data integrity and availability in the smart grid, and propose to adapt the PFL controller's parameter to the cyber state of the smart grid. Specifically, the PFL control scheme adapts its aggressiveness parameter to the level of noise, communication latency, and data injection attacks. Further, depending on the severity of the physical disturbance, the controller adjusts the value of its parameter to speed up the stabilization process. The performance of the proposed control scheme is validated on the IEEE 68-bus test power system, where the adaptive PFL controller is shown to efficiently stabilize the power system during physical and cyber disturbances.
No takes yet. Share an insight, caveat, or question.
Farraj et al. (2017) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: