LAPSE:2023.20137
Published Article
LAPSE:2023.20137
A Hierarchical Control Approach for Power Loss Minimization and Optimal Power Flow within a Meshed DC Microgrid
March 10, 2023
This work considers the DC part of a hybrid AC/DC microgrid with a meshed topology. We address cost minimization, battery scheduling and the power loss minimization within the power distribution network through constrained optimization. The novelty comes from applying differential flatness properties to the microgrid components and formulating the cost and constraints in terms of the associated B-splines parametrization of the flat outputs (the voltages and currents of the system). This allows us to obtain optimal power profiles to minimize the power dissipation and the cost of the electricity purchase from the external grid. These profiles are tracked by a model predictive controller at the higher level, while at a a lower level a controller deals with the operation of the switches within the DC/DC converters. Extensive simulations under nominal and fault-affected scenarios using realistic data validate the proposed approach.
Keywords
B-splines, DC microgrid architecture, differential flatness, load balancing, meshed topology, Model Predictive Control, power dissipation
Suggested Citation
Zafeiratou I, Prodan I, Lefévre L. A Hierarchical Control Approach for Power Loss Minimization and Optimal Power Flow within a Meshed DC Microgrid. (2023). LAPSE:2023.20137
Author Affiliations
Zafeiratou I: Grenoble INP, Graduate Schools of Engineering and Management, University Grenoble Alpes, LCIS, F-26000 Valence, France [ORCID]
Prodan I: Grenoble INP, Graduate Schools of Engineering and Management, University Grenoble Alpes, LCIS, F-26000 Valence, France [ORCID]
Lefévre L: Grenoble INP, Graduate Schools of Engineering and Management, University Grenoble Alpes, LCIS, F-26000 Valence, France [ORCID]
Journal Name
Energies
Volume
14
Issue
16
First Page
4846
Year
2021
Publication Date
2021-08-09
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14164846, Publication Type: Journal Article
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LAPSE:2023.20137
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doi:10.3390/en14164846
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Mar 10, 2023
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