Multi-Agent Sliding Mode Control for State of Charge Balancing Between Battery Energy Storage Systems Distributed in a DC Microgrid

Thomas Morstyn, Andrey V. Savkin, Branislav Hredzak, Vassilios G. Agelidis

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    Abstract

    This paper proposes the novel use of multi-agent sliding mode control for state of charge balancing between distributed de microgrid battery energy storage systems. Unlike existing control strategies based on linear multi-agent consensus protocols, the proposed nonlinear state of charge balancing strategy: 1) ensures the battery energy storage systems are either all charging or all discharging, thus eliminating circulating currents, increasing efficiency, and reducing battery lifetime degradation; 2) achieves faster state of charge balancing; 3) avoids overloading the battery energy storage systems during periods of high load; and 4) provides plug and play capability. The proposed control strategy can be readily integrated with existing multi-agent controllers for secondary voltage regulation and accurate current sharing. The performance of the proposed control strategy was verified with an RTDS Technologies real-time digital simulator, using switching converter models and nonlinear lead-acid battery models.
    Original languageEnglish
    JournalIEEE Transactions on Smart Grid
    Volume9
    Issue number5
    Pages (from-to)4735-4743
    Number of pages9
    ISSN1949-3053
    DOIs
    Publication statusPublished - 2018

    Keywords

    • Battery energy storage systems
    • DC microgrid
    • Distributed energy storage
    • Distributed sliding mode control
    • Hybrid systems
    • Multi-agent control
    • Secondary control
    • State of charge balancing

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