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.
Multi-Agent Sliding Mode Control for State of Charge Balancing Between Battery Energy Storage Systems Distributed in a DC Microgrid
2018-01-01
Morstyn , T , Savkin , A V , Hredzak , B & Agelidis , V G 2018 , ' Multi-Agent Sliding Mode Control for State of Charge Balancing Between Battery Energy Storage Systems Distributed in a DC Microgrid ' , IEEE Transactions on Smart Grid , vol. 9 , no. 5 , pp. 4735-4743 . https://doi.org/10.1109/TSG.2017.2668767
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC: | 629 |