Advances and opportunities in the model predictive control of microgrids: Part II–Secondary and tertiary layers

Oluleke Babayomi, Zhenbing Zhang, Tomislav Dragicevic, Rasool Heydari, Yu Li, Cristian Garcia, José Rodriguez, Ralph Kennel

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Model predictive control (MPC) facilitates the multi-variable control of power electronic systems while accommodating physical constraints without the necessity for a cascaded structure. These features result in fast control dynamic response and good performance when system involving non-linearities. In this second part of this paper, we present a review of the recent advances in the application of MPC to the secondary and tertiary control of microgrids (MGs). We also present comprehensive surveys of MPC techniques to the energy management and power flow control of autonomous and networked MGs. The application opportunities for MPC to both distributed secondary control and networked microgrids are also discussed.

Original languageEnglish
Article number107339
JournalInternational Journal of Electrical Power & Energy Systems
Volume134
Number of pages13
ISSN0142-0615
DOIs
Publication statusPublished - 2021

Keywords

  • Model predictive contro
  • Hybrid AC/DC microgri
  • Networked and autonomous microg
  • Three levels of microgrid contr
  • Multi-agent contr
  • Future trends of microgrid contr

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