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Distributed Control Algorithm for DC Microgrid Using Higher-Order Multi-Agent System

Author

Listed:
  • Muhammad Ahsan

    (Department of Measurements and Control Systems, Silesian University of Technology, 44-100 Gliwice, Poland)

  • Jose Rodriguez

    (Faculty of Engineering, Universidad San Sebastián, Recoleta, Santiago 4080871, Chile)

  • Mohamed Abdelrahem

    (Department of Electrical Engineering, Faculty of Engineering, Assiut University, Assiut 71516, Egypt
    Chair of High-Power Converter Systems (HLU), Technical University of Munich (TUM), 80333 Munich, Germany)

Abstract

During the last decade, DC microgrids have been extensively researched due to their simple structure compared to AC microgrids and increased penetration of DC loads in modern power networks. The DC microgrids consist of three main components, that is, distributed generation units (DGU), distributed non-linear load, and interconnected power lines. The main control tasks in DC microgrids are voltage stability at the point of common coupling (PCC) and current sharing among distributed loads. This paper proposes a distributed control algorithm using the higher-order multi-agent system for DC microgrids. The proposed control algorithm uses communication links between distributed multi-agents to acquire information about the neighbors’ agents and perform the desired control actions to achieve voltage balance and current sharing among distributed DC loads and DGUs. In this research work, non-linear ZIP loads and dynamical RLC lines are considered to construct the model. The dynamical model of the power lines and DGU are used to construct the control objective for each distributed DGU that is improved using the multi-agent system-based distributed current control. The closed-loop stability analysis is performed at the equilibrium points, and control gains are derived. Finally, simulations are performed using MATLAB/Simulink environment to verify the performance of the proposed control method.

Suggested Citation

  • Muhammad Ahsan & Jose Rodriguez & Mohamed Abdelrahem, 2023. "Distributed Control Algorithm for DC Microgrid Using Higher-Order Multi-Agent System," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8336-:d:1151749
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    References listed on IDEAS

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    2. Paweł Szcześniak & Iwona Grobelna & Mateja Novak & Ulrik Nyman, 2021. "Overview of Control Algorithm Verification Methods in Power Electronics Systems," Energies, MDPI, vol. 14(14), pages 1-20, July.
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    4. Fatemeh Nasr Esfahani & Ahmed Darwish & Barry W. Williams, 2022. "Power Converter Topologies for Grid-Tied Solar Photovoltaic (PV) Powered Electric Vehicles (EVs)—A Comprehensive Review," Energies, MDPI, vol. 15(13), pages 1-28, June.
    5. Saud Alotaibi & Ahmed Darwish, 2021. "Modular Multilevel Converters for Large-Scale Grid-Connected Photovoltaic Systems: A Review," Energies, MDPI, vol. 14(19), pages 1-30, September.
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