  This paper presents a complete design, analysis, and performance evaluation
of a novel distributed event-triggered control and estimation strategy for DC
microgrids. The primary objective of this work is to efficiently stabilize the
grid voltage, and to further balance the energy level of the energy storage
(ES) systems. The locally-installed distributed controllers are utilised to
reduce the number of transmitted packets and battery usage of the installed
sensors, based on a proposed event-triggered communication scheme. Also, to
reduce the network traffic, an optimal observer is employed which utilizes a
modified Kalman consensus filter (KCF) to estimate the state of the DC
microgrid via the distributed sensors. Furthermore, in order to effectively
provide an intelligent data exchange mechanism for the proposed event-triggered
controller, the publish-subscribe communication model is employed to setup a
distributed control infrastructure in industrial wireless sensor networks
(WSNs). The performance of the proposed control and estimation strategy is
validated via the simulations of a DC microgrid composed of renewable energy
sources (RESs). The results confirm the appropriateness of the implemented
strategy for the optimal utilization of the advanced industrial network
architectures in the smart grids.

Signal Processing;Distributed, Parallel, and Cluster Computing;Multiagent Systems;Networking and Internet Architecture;Systems and Control