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

This paper proposes the novel use of multi-agent sliding mode control for state of charge balancing between distributed dc microgrid battery energy storage systems. Unlike existing control strategies based on linear multi-agent consensus protocols, the proposed nonlinear state of charge balancing st...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on smart grid 2018-09, Vol.9 (5), p.4735-4743
Main Authors: Morstyn, Thomas, Savkin, Andrey V., Hredzak, Branislav, Agelidis, Vassilios G.
Format: Article
Language:English
Subjects:
Batteries
Battery energy storage systems
Charge distribution
Computer simulation
Converters
Current sharing
DC microgrid
distributed energy storage
Distributed generation
distributed sliding mode control
Energy storage
hybrid systems
Lead acid batteries
Microgrids
multi-agent control
Multiagent systems
Overloading
Plug & play
Power generation
secondary control
Sliding mode control
State of charge
state of charge balancing
Storage systems
Strategy
Voltage control
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper proposes the novel use of multi-agent sliding mode control for state of charge balancing between distributed dc 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.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2017.2668767