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Predictive Control for Microgrid Applications: A Review Study
- Source :
- Energies, Vol 13, Iss 2454, p 2454 (2020), Villalón, A, Rivera, M, Salgueiro, Y, Muñoz, J, Dragicevic, T & Blaabjerg, F 2020, ' Predictive Control for Microgrid Applications : A Review Study ', Energies, vol. 13, no. 10, 2454, pp. 1-32 . https://doi.org/10.3390/en13102454
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
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.
- Subjects :
- Renewable energy
Control and Optimization
Microgrid
Computer science
model predictive control
020209 energy
Control (management)
Energy Engineering and Power Technology
hierarchical control
02 engineering and technology
lcsh:Technology
Distributed generator
0202 electrical engineering, electronic engineering, information engineering
Model predictive control
Electrical and Electronic Engineering
Predictive control
Engineering (miscellaneous)
Review study
Hierarchical control
Renewable Energy, Sustainability and the Environment
business.industry
lcsh:T
020208 electrical & electronic engineering
renewable energy
Reliability engineering
microgrid
Electric power
business
predictive control
distributed generator
Energy (miscellaneous)
Subjects
Details
- Language :
- English
- ISSN :
- 19961073
- Volume :
- 13
- Issue :
- 2454
- Database :
- OpenAIRE
- Journal :
- Energies
- Accession number :
- edsair.doi.dedup.....027d28bd47708a07c149932d5d477916