Ariel Villalón
Predictive Control for Microgrid Applications: A Review Study
Villalón, Ariel; Rivera, Marco; Salgueiro, Yamisleydi; Muñoz, Javier; Dragičević, Tomislav; Blaabjerg, Frede
Authors
Professor MARCO RIVERA MARCO.RIVERA@NOTTINGHAM.AC.UK
PROFESSOR
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 |
Files
Predictive Control for Microgrid Applications: A Review Study
(7.3 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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