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

Seyed Amir Alavi, Kamyar Mehran, Yang Hao, Ardavan Rahimian, Hamed Mirsaeedi, Vahid Vahidinasab

Research output: Contribution to journalArticle

2 Citations (Scopus)
74 Downloads (Pure)


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 systems. The locally-installed distributed controllers are utilized 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 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. The performance of the proposed control and estimation strategy is validated via the simulations of a dc microgrid composed of renewable energy sources. The results confirm the appropriateness of the implemented strategy for the optimal utilization of the advanced industrial network architectures in the smart grids.
Original languageEnglish
Article number8444726
Pages (from-to)4323-4337
Number of pages15
JournalIEEE Transactions on Smart Grid
Issue number4
Early online date23 Aug 2018
Publication statusPublished - 31 Jul 2019



  • DC microgrid
  • WSN
  • distributed state estimation
  • event-triggered control
  • publish-subscribe model

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