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This paper presents a complete design, analysis, and performance evaluationof a novel distributed event-triggered control and estimation strategy for DCmicrogrids. The primary objective of this work is to efficiently stabilize thegrid voltage, and to further balance the energy level of the energy storage(ES) systems. The locally-installed distributed controllers are utilised toreduce the number of transmitted packets and battery usage of the installedsensors, based on a proposed event-triggered communication scheme. Also, toreduce the network traffic, an optimal observer is employed which utilizes amodified Kalman consensus filter (KCF) to estimate the state of the DCmicrogrid via the distributed sensors. Furthermore, in order to effectivelyprovide an intelligent data exchange mechanism for the proposed event-triggeredcontroller, the publish-subscribe communication model is employed to setup adistributed control infrastructure in industrial wireless sensor networks(WSNs). The performance of the proposed control and estimation strategy isvalidated via the simulations of a DC microgrid composed of renewable energysources (RESs). The results confirm the appropriateness of the implementedstrategy for the optimal utilization of the advanced industrial networkarchitectures in the smart grids.

A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks