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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Mohamed Zaery & Panbao Wang & Wei Wang & Dianguo Xu, 2022. "A Novel Optimal Power Allocation Control System with High Convergence Rate for DC Microgrids Cluster," Energies, MDPI, vol. 15(11), pages 1-22, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:3994-:d:826850
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    References listed on IDEAS

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    1. Maria Fotopoulou & Dimitrios Rakopoulos & Dimitrios Trigkas & Fotis Stergiopoulos & Orestis Blanas & Spyros Voutetakis, 2021. "State of the Art of Low and Medium Voltage Direct Current (DC) Microgrids," Energies, MDPI, vol. 14(18), pages 1-27, September.
    2. Zongyu Zuo & Lin Tie, 2016. "Distributed robust finite-time nonlinear consensus protocols for multi-agent systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(6), pages 1366-1375, April.
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    Cited by:

    1. Feng Liu & Yani Wang & Xi Zhu, 2022. "Design and Management of High Voltage Power Systems and Insulation Materials," Energies, MDPI, vol. 15(13), pages 1-3, June.

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