LAPSE:2023.12794
Published Article

LAPSE:2023.12794
A Novel Optimal Power Allocation Control System with High Convergence Rate for DC Microgrids Cluster
February 28, 2023
Abstract
A novel, fully distributed controller with a rapid convergence rate is developed to ensure the optimal loading dispatch for interconnected DC MGs. It comprises local and global-control levels, handling the economic load allocations in a finite-time manner, for distinct MGs and cluster of MGs, respectively. The local-control layer guarantees MG’s economic operation by matching the incremental costs (ICs) of all DGs, respecting the power equilibrium among generations and demands, DGs’ generation limits, as well as the transmission line losses. Furthermore, the economic operation of battery energy sources is considered, in the optimization problem, to strengthen the overall reliability and maximize energy arbitrage. The global controller adjusts MGs’ voltage references to determine the optimal exchanged power, between MGs, for reducing the global total generation cost (TGC). A rigorous analysis is developed to confirm the stable convergence of the developed controller. Extensive simulation case studies demonstrate the superiority of the proposed control system.
A novel, fully distributed controller with a rapid convergence rate is developed to ensure the optimal loading dispatch for interconnected DC MGs. It comprises local and global-control levels, handling the economic load allocations in a finite-time manner, for distinct MGs and cluster of MGs, respectively. The local-control layer guarantees MG’s economic operation by matching the incremental costs (ICs) of all DGs, respecting the power equilibrium among generations and demands, DGs’ generation limits, as well as the transmission line losses. Furthermore, the economic operation of battery energy sources is considered, in the optimization problem, to strengthen the overall reliability and maximize energy arbitrage. The global controller adjusts MGs’ voltage references to determine the optimal exchanged power, between MGs, for reducing the global total generation cost (TGC). A rigorous analysis is developed to confirm the stable convergence of the developed controller. Extensive simulation case studies demonstrate the superiority of the proposed control system.
Record ID
Keywords
battery energy sources, DC microgrids cluster, distributed control, economic dispatch, finite-time consensus protocol
Subject
Suggested Citation
Zaery M, Wang P, Wang W, Xu D. A Novel Optimal Power Allocation Control System with High Convergence Rate for DC Microgrids Cluster. (2023). LAPSE:2023.12794
Author Affiliations
Zaery M: Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, Egypt [ORCID]
Wang P: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China [ORCID]
Wang W: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Xu D: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Wang P: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China [ORCID]
Wang W: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Xu D: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Journal Name
Energies
Volume
15
Issue
11
First Page
3994
Year
2022
Publication Date
2022-05-28
ISSN
1996-1073
Version Comments
Original Submission
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PII: en15113994, Publication Type: Journal Article
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LAPSE:2023.12794
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https://doi.org/10.3390/en15113994
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Feb 28, 2023
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