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Modeling and Stability Analysis of Distributed Secondary Control Scheme for Stand-Alone DC Microgrid Applications

Author

Listed:
  • Anuoluwapo Aluko

    (Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY 13699, USA)

  • Andrew Swanson

    (Discipline of Electrical, Electronics and Computer Engineering, University of KwaZulu-Natal, Durban 4041, KwaZulu-Natal, South Africa)

  • Leigh Jarvis

    (Discipline of Electrical, Electronics and Computer Engineering, University of KwaZulu-Natal, Durban 4041, KwaZulu-Natal, South Africa)

  • David Dorrell

    (School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg 2000, Gauteng, South Africa)

Abstract

Stand-alone DC microgrids have multiple distributed generation (DG) sources that meet the required demand (load) by using droop control to achieve load (current) sharing between the DGs. The use of droop control leads to a voltage drop at the DC bus. This paper presents a distributed secondary control scheme to simultaneously ensure current sharing between the DGs and regulate the DC bus voltage. The proposed control scheme eliminates the voltage deviation and ensures balanced current sharing by combining the voltage and current errors in the designed secondary control loop. A new flight-based artificial bee colony optimization algorithm is proposed. This selects the parameters of the distributed secondary control scheme to achieve the objectives of the proposed controller. A state–space model of the DC microgrid is developed by using eigenvalue observation to test the impacts of the proposed optimized distributed secondary controller on the stability of the DC microgrid system. A real-time test system is developed in MATLAB/Simulink and used in a Speedgoat real-time simulator to verify the performance of the proposed control scheme for real-world applications. The results show the robustness of the proposed distributed secondary control scheme in achieving balance current sharing and voltage regulation in the DC microgrid with minimal oscillations and fast response time.

Suggested Citation

  • Anuoluwapo Aluko & Andrew Swanson & Leigh Jarvis & David Dorrell, 2022. "Modeling and Stability Analysis of Distributed Secondary Control Scheme for Stand-Alone DC Microgrid Applications," Energies, MDPI, vol. 15(15), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5411-:d:872629
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    References listed on IDEAS

    as
    1. Liyuan Gao & Yao Liu & Huisong Ren & Josep M. Guerrero, 2017. "A DC Microgrid Coordinated Control Strategy Based on Integrator Current-Sharing," Energies, MDPI, vol. 10(8), pages 1-17, August.
    2. Anuoluwapo Oluwatobiloba Aluko & David George Dorrell & Rudiren Pillay Carpanen & Evan E. Ojo, 2020. "Heuristic Optimization of Virtual Inertia Control in Grid-Connected Wind Energy Conversion Systems for Frequency Support in a Restructured Environment," Energies, MDPI, vol. 13(3), pages 1-28, January.
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    Cited by:

    1. Ahmed H. EL-Ebiary & Mohamed Mokhtar & Atef M. Mansour & Fathy H. Awad & Mostafa I. Marei & Mahmoud A. Attia, 2022. "Distributed Mitigation Layers for Voltages and Currents Cyber-Attacks on DC Microgrids Interfacing Converters," Energies, MDPI, vol. 15(24), pages 1-32, December.
    2. Xiang Li & Zhenya Ji & Fengkun Yang & Zhenlan Dou & Chunyan Zhang & Liangliang Chen, 2022. "A Distributed Two-Level Control Strategy for DC Microgrid Considering Safety of Charging Equipment," Energies, MDPI, vol. 15(22), pages 1-20, November.

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