Performance evaluation of flocking-based distributed cyber-physical control for Smart Grid

Abstract

A flocking-based control strategy has recently been proposed to stabilize power systems during transient instability. The flocking paradigm offers a rich understanding of the coupling and interactions between the cyber and physical system components and employs this insight to build more intelligent distributed control schemes. This article investigates the performance of flocking-based control in the presence of nonideal practical measurement, communication and storage constraints. We identify intrinsic design tradeoffs that exist between measurement parameters and communication specifications to achieve a specific level of controller performance.