Robustness analysis of feedback linearization distributed control schemes in smart grid systems

Feedback linearization distributed control schemes have recently been proposed to stabilize power systems after the occurrence of a physical fault. This paper investigates the performance of feedback linearization distributed controllers in the presence of non-ideal practical measurement, communication and storage constraints. This work investigates the impact of sampling frequency, quantization depth, communication latency, signal-to-noise ratio, and limits on external power on the performance of the controllers. Results of this work detail the performance and effectiveness of the feedback linearization controllers in the New England 39-bus power system under these different practical limitations.