LAPSE:2023.22808
Published Article
LAPSE:2023.22808
Consensus Control for Reactive Power Sharing Using an Adaptive Virtual Impedance Approach
Ahmed S. Alsafran, Malcolm W. Daniels
March 24, 2023
Abstract
Reactive power sharing among distributed generators (DGs) in islanded microgrids (MGs) presents control challenges, particularly in the mismatched feeder line condition. Improved droop control methods independently struggle to resolve this issue and centralized secondary control methods exhibit a high risk of collapse for the entire MG system under any failure in the central control. Distributed secondary control methods have been recently proposed to mitigate the reactive power error evident in the presence of mismatched feeder lines. This paper details a mathematical model of an adaptive virtual impedance control that is based on both leaderless and leader-followers consensus controls with a novel triangle mesh communication topology to ensure accurate active and reactive power sharing. The approach balances an enhanced rate of convergence with the anticipated implementation cost. A MATLAB/Simulink model with six DG units validates the proposed control performance under three different communication structures: namely, ring, complete, and triangle mesh topologies. The results suggest that leaderless consensus control is a reliable option with large DG systems, while the leader-followers consensus control is suitable for the small systems. The triangle mesh communication topology provides a compromise approach balancing the rate of convergence and the expected cost. The extensibility and scalability are advantages of this topology over the alternate ring and complete topologies.
Keywords
adaptive virtual impedance, hierarchical control, islanded microgrids, leader-followers consensus control, leaderless consensus control, mismatched feeder lines, reactive power sharing, triangle mesh communication topology
Suggested Citation
Alsafran AS, Daniels MW. Consensus Control for Reactive Power Sharing Using an Adaptive Virtual Impedance Approach. (2023). LAPSE:2023.22808
Author Affiliations
Alsafran AS: Electrical and Computer Engineering Department, University of Dayton, Dayton, OH 45469, USA [ORCID]
Daniels MW: Electrical and Computer Engineering Department, University of Dayton, Dayton, OH 45469, USA
Journal Name
Energies
Volume
13
Issue
8
Article Number
E2026
Year
2020
Publication Date
2020-04-18
ISSN
1996-1073
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Original Submission
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PII: en13082026, Publication Type: Journal Article
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LAPSE:2023.22808
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https://doi.org/10.3390/en13082026
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