Sampling rate selection influences on incremental cost consensus algorithm in decentralized economic dispatch

In a smart grid, distributed control algorithms can be embedded in the distributed controllers of generators to solve energy management problems without the presence of a central controller. Incremental Cost Consensus (ICC) algorithm is such a distributed algorithm that solves the economic dispatch problem (EDP) in a distributed manner. This paper considers the sampling rate selection of a system that consists of the ICC algorithm and generator dynamics. The mathematical formulation of the hybrid system is presented and the selection of a proper sampling rate is discussed. In addition, the results of the case studies are presented to show the convergence performance of a hybrid system under different sampling rate choices.