Journal
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
Volume 8, Issue 3, Pages 606-616Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JAS.2021.1003874
Keywords
Cooperative control; energy storage systems; microgrids; multi-agent systems
Categories
Funding
- Department of Navy [N00014-20-1-2858]
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This paper addresses the control problem of battery energy storage systems in microgrid management, solving the issue of balancing the state-of-charge of networked battery units and meeting the total power requirements with distributed control. Two types of estimators are proposed to achieve asymptotic and finite time estimation, showing that SoC balancing of all battery units is achieved under the control laws proposed and the total charging/discharging power of the BESS tracks the desired power. Simulation results validate the theoretical findings.
The control of battery energy storage systems (BESSs) plays an important role in the management of microgrids. In this paper, the problem of balancing the state-of-charge (SoC) of the networked battery units in a BESS while meeting the total charging/discharging power requirement is formulated and solved as a distributed control problem. Conditions on the communication topology among the battery units are established under which a control law is designed for each battery unit to solve the control problem based on distributed average reference power estimators and distributed average unit state estimators. Two types of estimators are proposed. One achieves asymptotic estimation and the other achieves finite time estimation. We show that, under the proposed control laws, SoC balancing of all battery units is achieved and the total charging/discharging power of the BESS tracks the desired power. A simulation example is shown to verify the theoretical results.
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