A Novel Optimal Power Allocation Control System with High Convergence Rate for DC Microgrids Cluster

Mohamed Zaery, Panbao Wang, Wei Wang and Dianguo Xu
Additional contact information
Mohamed Zaery: Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, Egypt
Panbao Wang: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Wei Wang: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Dianguo Xu: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China

Energies, 2022, vol. 15, issue 11, 1-22

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.

Keywords: DC microgrids cluster; economic dispatch; distributed control; finite-time consensus protocol; battery energy sources (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/11/3994/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/11/3994/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:11:p:3994-:d:826850

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().