Distributed Cooperative Control of Battery Energy Storage Systems in DC Microgrids

Tingyang Meng; Zongli Lin; Yacov A. Shamash

doi:10.1109/JAS.2021.1003874

Volume 8 Issue 3

Mar. 2021

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2021 > 8(3): 606-616

Tingyang Meng, Zongli Lin and Yacov A. Shamash, "Distributed Cooperative Control of Battery Energy Storage Systems in DC Microgrids," IEEE/CAA J. Autom. Sinica, vol. 8, no. 3, pp. 606-616, Mar. 2021. doi: 10.1109/JAS.2021.1003874

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Tingyang Meng, Zongli Lin and Yacov A. Shamash, "Distributed Cooperative Control of Battery Energy Storage Systems in DC Microgrids," IEEE/CAA J. Autom. Sinica, vol. 8, no. 3, pp. 606-616, Mar. 2021. doi: 10.1109/JAS.2021.1003874

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Distributed Cooperative Control of Battery Energy Storage Systems in DC Microgrids

doi: 10.1109/JAS.2021.1003874

Funds: This work relates to Department of Navy award (N00014-20-1-2858) issued by the Office of Naval Research. The United States Government has a royalty-free license throughout the world in all copyrightable material contained herein

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Author Bio:
Tingyang Meng received the B. Eng. degree in electrical and computer engineering from Shanghai Jiao Tong University, Shanghai, China in 2015, and the M. Eng. degree in electrical engineering from the University of Virginia, Charlottesville, VA, USA in 2017. He is currently a Ph.D. candidate at the University of Virginia, USA. His research is focused on distributed control of multiagent systems and its application in micro grids

Zongli Lin (S’89–M’94–SM’98–F’07) received the B. S. degree in mathematics and computer science from Xiamen University, Xiamen, China, in 1983, the M. Eng. degree in automatic control from Chinese Academy of Space Technology, Beijing, China, in 1989, and the Ph. D. degree in electrical and computer engineering from Washington State University, Pullman, Washington, USA in 1994. He is the Ferman W. Perry Professor in the School of Engineering and Applied Science and a Professor of Electrical and Computer Engineering at University of Virginia. His current research interests include nonlinear control, robust control, and control applications. He was an Associate Editor of IEEE Transactions on Automatic Control (2001–2003), IEEE/ASME Transactions on Mechatronics (2006–2009) and IEEE Control Systems Magazine (2005–2012). He was elected a member of the Board of Governors of the IEEE Control Systems Society (2008–2010, 2019–2021) and chaired the IEEE Control Systems Society Technical Committee on Nonlinear Systems and Control (2013–2015). He has served on the operating committees of several conferences and was a General Chair of the 2012 and 2018 International Symposia on Magnetic Bearings and the Program Chair of the 2018 American Control Conference. He currently serves on the editorial boards of several journals and book series, including Automatica, Systems & Control Letters, Science China Information Sciences, and Springer/Birkhauser book series control engineering. He is a Fellow of IEEE, International Federation of Automatic Control (IFAC), American Association for the Advancement of Science (AAAS) and Chinese Association of Automation (CAA)

Yacov A. Shamash (F’93) received the Ph. D. degree in electrical engineering from Imperial College of Sciences and Technology, London, UK in 1973. He is a Professor of electrical and computer engineering at Stony Brook University where he was the founder of the New York State Center for Excellence in Wireless and in Information Technology, and the New York State Center for Excellence in Advanced Energy Research and Technology (AERTC). He has previously served as the Vice President for Economic Development, the Dean of Engineering and Applied Sciences and the Dean of the Harriman School for Management and Policy. Prior to joining Stony Brook University, he developed and directed the National Science Foundation Industry/University Cooperative Research Center for the Design of Analog/Digital Integrated Circuits and also served as Chairman of the Electrical and Computer Engineering Department at Washington State University. He serves on the Board of Directors of Comtech Telecommunications Corp., KeyTronic Corp., and Applied DNA Sciences, Inc. His research interests include model reduction, time-delay systems, robust control and energy systems
Corresponding author: T. Y. Meng and Z. L. Lin are with Charles L. Brown Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904-4743 USA (e-mail: tm4vr@virginia.edu; zl5y@virginia.edu)
Received Date: 2020-09-05
Revised Date: 2020-11-07
Accepted Date: 2020-11-17

Available Online: 2020-12-02

Abstract

Abstract

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.
- Cooperative control,
- energy storage systems,
- microgrids,
- multi-agent systems

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Balancing of the state-of-charge of networked battery units is considered.
The problem is formulated and solved as a distributed control problem.
Distributed average reference power and average unit state estimators are built.
Asymptotic and finite time estimators are proposed and their performance analyzed.
Simulation results illustrate the effectiveness of the proposed control algorithms.

Distributed Cooperative Control of Battery Energy Storage Systems in DC Microgrids

doi: 10.1109/JAS.2021.1003874

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通讯作者: 陈斌, bchen63@163.com

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