Journal article · Ahead of Print article
Multi-Agent Sliding Mode Control for State of Charge Balancing Between Battery Energy Storage Systems Distributed in a DC Microgrid
University of Oxford1
University of New South Wales2
Department of Electrical Engineering, Technical University of Denmark3
Center for Electric Power and Energy, Centers, Technical University of Denmark4
Smart Electric Components, Center for Electric Power and Energy, Centers, Technical University of Denmark5
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.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2018 |
| Pages: | 4735-4743 |
| ISSN: | 19493061 and 19493053 |
| Types: | Journal article and Ahead of Print article |
| DOI: | 10.1109/TSG.2017.2668767 |
| ORCIDs: | Agelidis, Vassilios G. |
Battery energy storage systems DC microgrid Distributed energy storage Distributed sliding mode control Hybrid systems Multi-agent control Secondary control State of charge balancing
Batteries Microgrids Power generation Sliding mode control State of charge Voltage control battery lifetime degradation battery storage plants charge balancing distributed dc microgrid battery energy storage systems distributed energy storage distributed power generation distributed sliding mode control energy storage hybrid systems lead acid batteries linear multiagent consensus protocols multi-agent control multi-agent systems multiagent controllers multiagent sliding mode control nonlinear control systems nonlinear lead-acid battery models power distribution control power grids secondary control state of charge balancing switching convertors voltage control
