Distributed Model Predictive Control Based Secondary Control for Power Regulation in AC Microgrids

Junjie Xiao, Lu Wang, Yihao Wan, Pavol Bauer, Zian Qin*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

This paper concerns the control problem of the active and harmonic power sharing caused by the mismatched impedance in resistive feeders-dominated microgrids. A distributed model predictive control (DMPC) scheme is suggested to regulate the virtual impedance of each involved unit for power sharing based on the neighbor's state. With the distributed philosophy, the central controller is not required. Moreover, the proposed method benefits resilience to communication failure by designing the communication matrix. Furthermore, it involves propagating information among units in a short period, significantly reducing the communication and computation burden. Finally, the performance of the proposed control scheme is evaluated in terms of its convergence, robustness to communication delay and load variations, resilience to communication failure, and plug-and-play functionality without communication in an inverter-connected system.

Original languageEnglish
Pages (from-to)5298-5308
Number of pages11
JournalIEEE Transactions on Smart Grid
Volume15
Issue number6
DOIs
Publication statusPublished - 2024

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Model predictive control
  • adaptive virtual impedance
  • power sharing
  • distributed control

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