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Predictive Control for Microgrid Applications: A Review Study

Villalón, Ariel; Rivera, Marco; Salgueiro, Yamisleydi; Muñoz, Javier; Dragičević, Tomislav; Blaabjerg, Frede

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Authors

Ariel Villalón

Yamisleydi Salgueiro

Javier Muñoz

Tomislav Dragičević

Frede Blaabjerg



Abstract

Microgrids need control and management at different levels to allow the inclusion of renewable energy sources. In this paper, a comprehensive literature review is presented to analyse the latest trends in research and development referring to the applications of predictive control in microgrids. As a result of this review, it was found that the application of predictive control techniques on microgrids is performed for the three control levels and with adaptations of the models in order to include uncertainties to improve their performance and dynamics response. In addition, to ensure system stability, but also, at higher control levels, coordinated operation among the microgrid’s components and synchronised and optimised operation with utility grids and electric power markets. Predictive control appears as a very promising control scheme with several advantages for microgrid applications of different control levels.

Citation

Villalón, A., Rivera, M., Salgueiro, Y., Muñoz, J., Dragičević, T., & Blaabjerg, F. (2020). Predictive Control for Microgrid Applications: A Review Study. Energies, 13(10), Article 2454. https://doi.org/10.3390/en13102454

Journal Article Type Review
Acceptance Date May 8, 2020
Online Publication Date May 13, 2020
Publication Date 2020-05
Deposit Date Mar 12, 2025
Publicly Available Date Mar 17, 2025
Journal Energies
Electronic ISSN 1996-1073
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 13
Issue 10
Article Number 2454
DOI https://doi.org/10.3390/en13102454
Keywords Energy (miscellaneous); Energy Engineering and Power Technology; Renewable Energy, Sustainability and the Environment; Electrical and Electronic Engineering; Control and Optimization; Engineering (miscellaneous)
Public URL https://nottingham-repository.worktribe.com/output/23864735
Publisher URL https://www.mdpi.com/1996-1073/13/10/2454

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