Journal article
Advances and opportunities in the model predictive control of microgrids: Part II–Secondary and tertiary layers
Shandong University1
Electronics, Department of Electrical Engineering, Technical University of Denmark2
Smart Electric Components, Center for Electric Power and Energy, Centers, Technical University of Denmark3
Center for Electric Power and Energy, Centers, Technical University of Denmark4
Department of Electrical Engineering, Technical University of Denmark5
University of Southern Denmark6
Universidad Andrés Bello7
Technical University of Munich8
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.
Language: | English |
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Year: | 2021 |
Pages: | 107339 |
ISSN: | 18793517 and 01420615 |
Types: | Journal article |
DOI: | 10.1016/j.ijepes.2021.107339 |
ORCIDs: | Dragicevic, Tomislav |