LAPSE:2023.23247
Published Article
LAPSE:2023.23247
A Model Predictive Control Strategy for Distribution Grids: Voltage and Frequency Regulation for Islanded Mode Operation
March 27, 2023
In the last few years, one of the most important challenges of power technologies has been the integration of traditional energy production systems and distributed energy resources. Large-scale photovoltaic systems and wind farms may decrease the quality of the electrical grid service, mainly due to voltage and frequency peaks and fluctuations. Besides, new functionalities, such as the operation in islanded mode of some portions of the medium-voltage grid, are more and more required. In this respect, a model predictive control for voltage and frequency regulation in interconnected local distribution systems is presented. In the proposed model, each local system represents a collection of intelligent buildings and microgrids with a large capacity in active and reactive power regulation. The related model formalization includes a linear approximation of the power flow equations, based on stochastic variables related to the electrical load and to the production from renewable sources. A model predictive control problem is formalized, and a closed-loop linear control law has been obtained. In the results section, the proposed approach has been tested on the Institute of Electrical and Electronics Engineers(IEEE) 5 bus system, considering multiple loads and renewable sources variations on each local system.
Keywords
interconnected microgrids, islanded mode, Model Predictive Control, optimal control, power systems, voltage and frequency regulation
Suggested Citation
Ferro G, Robba M, Sacile R. A Model Predictive Control Strategy for Distribution Grids: Voltage and Frequency Regulation for Islanded Mode Operation. (2023). LAPSE:2023.23247
Author Affiliations
Ferro G: DIBRIS—Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genoa, Italy
Robba M: DIBRIS—Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genoa, Italy [ORCID]
Sacile R: DIBRIS—Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genoa, Italy [ORCID]
Journal Name
Energies
Volume
13
Issue
10
Article Number
E2637
Year
2020
Publication Date
2020-05-21
Published Version
ISSN
1996-1073
Version Comments
Original Submission
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PII: en13102637, Publication Type: Journal Article
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LAPSE:2023.23247
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doi:10.3390/en13102637
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