TY - JOUR
T1 - Predictive Control for Microgrid Applications
T2 - A Review Study
AU - Villalón, Ariel
AU - Rivera, Marco
AU - Salgueiro, Yamisleydi
AU - Muñoz, Javier
AU - Dragicevic, Tomislav
AU - Blaabjerg, Frede
PY - 2020/5
Y1 - 2020/5
N2 - 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.
AB - 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.
KW - Distributed generator
KW - Hierarchical control
KW - Microgrid
KW - Model predictive control
KW - Predictive control
KW - Renewable energy
UR - http://www.scopus.com/inward/record.url?scp=85085022861&partnerID=8YFLogxK
U2 - 10.3390/en13102454
DO - 10.3390/en13102454
M3 - Review article
SN - 1996-1073
VL - 13
SP - 1
EP - 32
JO - Energies
JF - Energies
IS - 10
M1 - 2454
ER -