LAPSE:2023.15681
Published Article
LAPSE:2023.15681
Microgrid Operation Optimization Using Hybrid System Modeling and Switched Model Predictive Control
March 2, 2023
Optimization of economic aspects of microgrid operation in both grid-connected and islanded mode leads to contradictive definitions of optimality for both modes. There is no general agreement on how to cope with this duality. To address this issue, as well as modern energy market requirements and a better renewable energy utilization necessity in the case of large facilities, a comprehensive control solution utilizing the appropriate model is needed. In response, the authors propose a hybrid microgrid model covering fundamental features and designed to work in conjunction with two switched receding horizon control laws. A relevant controller is chosen according to the current microgrid operation mode and its cost function tailored to specific demands of the islanded or grid-connected operation. Performed research led to a new switched hybrid model predictive control approach focused on microgrid economic optimization. This approach utilizes an appropriate hybrid microgrid model also contributed by the authors. The introduced solution turned out to be effective in overall energy cost reduction in the case of large commercial facilities, regardless of grid-connection and renewable generation scenarios. Furthermore, it also provides satisfactory renewable energy and storage capabilities utilization in changing grid connection conditions.
Keywords
Energy Efficiency, hybrid systems modeling, microgrid economic optimization, microgrid modeling, Model Predictive Control, smart cities, smart grids
Suggested Citation
Maślak G, Orłowski P. Microgrid Operation Optimization Using Hybrid System Modeling and Switched Model Predictive Control. (2023). LAPSE:2023.15681
Author Affiliations
Maślak G: Department of Automatic Control and Robotics, Faculty of Electrical Engineering, West Pomeranian University of Technology in Szczecin, Sikorskiego 37, 70-313 Szczecin, Poland [ORCID]
Orłowski P: Department of Automatic Control and Robotics, Faculty of Electrical Engineering, West Pomeranian University of Technology in Szczecin, Sikorskiego 37, 70-313 Szczecin, Poland [ORCID]
Journal Name
Energies
Volume
15
Issue
3
First Page
833
Year
2022
Publication Date
2022-01-24
Published Version
ISSN
1996-1073
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Original Submission
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PII: en15030833, Publication Type: Journal Article
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LAPSE:2023.15681
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doi:10.3390/en15030833
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