Fully Distributed Dynamic Edge-Event-Triggered Current Sharing Control Strategy for Multibus DC Microgrids With Power Coupling

Rui Wang, Weihua Li, Qiuye Sun, Yushuai Li, Yonghao Gui, Peng Wang

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Although the current sharing control of dc microgrids has been widely studied, the high communication bandwidth and global communication network structure information demands hander the renewable energy consumption. Thus, this article proposes a fully distributed dynamic edge-event-triggered current sharing control strategy for multibus dc microgrids with power coupling. First, the system model with power coupling is built, which is further switched to the linear heterogeneous multiagent systems with unknown disturbance. It is an indispensable preprocessing for controller design. Furthermore, the fully distributed current sharing control strategy is proposed through adaptive coupling weights. Note that the global communication network structure information demand is eliminated. Moreover, the fully distributed dynamic edge-event-triggered mechanism is proposed to reduce communication bandwidth. Compared with the previous dynamic event-triggered mechanisms applied into dc microgrids, the continuous communication between neighboring agents is avoided, and controller updating frequency is reduced. Finally, the simulation and experimental results verify the proposed control performance.

Original languageEnglish
Pages (from-to)5667-5678
Number of pages12
JournalIEEE Transactions on Industrial Informatics
Volume19
Issue number4
DOIs
StatePublished - Apr 1 2023
Externally publishedYes

Funding

This work was supported in part by the National Key Research and Development Program of China under Grant 2018YFA0702200, in part by the National Natural Science Foundation of China under Grant 62073065

Keywords

  • Current sharing control
  • dc microgrids
  • dynamic edge-event-triggered
  • multiagent systems

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