Consensus power agent model and stability analysis for (n,k)-star power grids

This paper investigates the properties and effects of a novel consensus control power agent model and information discovery algorithm for (n,k)-star power distribution system. This system is a combination of power components represented by power agents in a interconnected networked topology called (n,k)-star. The generator agent model is based on the real-time control model for generator turbines. It is reactive to power flow and can change its status in response to received information from neighboring agents. Also, with the change of this generator agent model, we investigated its influence on system stability of the control algorithm. We show that with the new real-time generator agent model, the cooperative control algorithm we present is stable on a simple gain controller and can reach a consensus state for the whole (n,k)-star networked system. This consensus algorithm is then simulated to illustrate the convergence and stability on information discovery of the (n,k)-star power distribution system.