Dynamic communications control for μGrid agents

In this work, we present a robust communication control strategy for source, load and storage agents in a microgrid. In particular, the work is motivated by low inertia microgrid environments having high penetration of stochastic renewable resources and thus ones where high data rate communications is requisite to maintain power system stability. The proposed multi-state automaton-based approach, that assigns communication priorities in relation to an agents's power impact on the microgrid, is shown to satisfy bandwidth requirements that are several orders of magnitude higher than that of today's Smart Grid.