Distributed Control of Multiple-Bus Microgrid With Paralleled Distributed Generators

Bo Fan; Jiangkai Peng; Jiajun Duan; Qinmin Yang; Wenxin Liu

doi:10.1109/JAS.2019.1911477

Volume 6 Issue 3

May 2019

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2019 > 6(3): 676-684

Bo Fan, Jiangkai Peng, Jiajun Duan, Qinmin Yang and Wenxin Liu, "Distributed Control of Multiple-Bus Microgrid With Paralleled Distributed Generators," IEEE/CAA J. Autom. Sinica, vol. 6, no. 3, pp. 676-684, May 2019. doi: 10.1109/JAS.2019.1911477

Citation:

Bo Fan, Jiangkai Peng, Jiajun Duan, Qinmin Yang and Wenxin Liu, "Distributed Control of Multiple-Bus Microgrid With Paralleled Distributed Generators," IEEE/CAA J. Autom. Sinica, vol. 6, no. 3, pp. 676-684, May 2019. doi: 10.1109/JAS.2019.1911477

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Distributed Control of Multiple-Bus Microgrid With Paralleled Distributed Generators

doi: 10.1109/JAS.2019.1911477

1.
State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China
2.
Smart Microgrid and Renewable Technology (SMRT) Research Laboratory, Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, PA 18015 USA
3.
Global Energy Interconnection Research Institute North America (GEIRINA), San Jose, CA 95134 USA

Funds:

the US Office of Naval Research N00014-16-1-312

the US Office of Naval Research N00014-18-1-2185

the National Natural Science Foundation of China 61673347

the National Natural Science Foundation of China U1609214

the National Natural Science Foundation of China 61751205

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Author Bio:

Bo Fan (S'15) received the B.S. degree in automation from Zhejiang University, Hangzhou, China, in 2014, where he is currently pursuing the Ph.D. degree in control science and engineering. He is a member of the Group of Networked Sensing and Control (IIPC-NeSC), State Key Laboratory of Industrial Control Technology, Zhejiang University. His research interests include distributed control, nonlinear systems, and renewable energy systems. (e-mail: kanade@zju.edu.cn)

Jiangkai Peng (S'16) received the B.Eng. (Hons) degree in electronics and electrical engineering from the University of Edinburgh, Edinburgh, UK, and South China University of Technology, Guangzhou, China, in 2016. Currently, he is pursuing the Ph.D. degree in electrical engineering at Lehigh University, Bethlehem, PA, USA. His research interests include microgrid, power electronics control system, and power system. (e-mail: jip216@lehigh.edu)

Jiajun Duan (S'14) received the B.S. degree in power system and automation from Sichuan University, Chengdu, China, in 2013, and the M.S. and Ph.D. degrees in electrical engineering from Lehigh University, Bethlehem, PA, USA, in 2015 and 2018, respectively. Currently, he is a Post-doctoral Researcher in Global Energy Interconnection Research Institute North America (GEIRINA), San Jose, CA, USA. His research interests include power system, power electronics, control systems, machine learning, and deep learning. (e-mail: jiajunduan.ee@gmail.com)

Qinmin Yang (S'05-M'10-SM'18) received the B.S. degree in electrical engineering from the Civil Aviation University of China, Tianjin, China, in 2001, the M.S. degree in control science and engineering from the Institute of Automation, Chinese Academy of Sciences, Beijing, China, in 2004, and the Ph.D. degree in electrical engineering from the University of Missouri-Rolla, Rolla, MO, USA, in 2007. From 2007 to 2008, he was a Post-doctoral Research Associate at University of Missouri-Rolla. In 2008, he was a system engineer with Caterpillar Inc. From 2009 to 2010, he was a Post-doctoral Research Associate at University of Connecticut. Since 2010, he has been with the State Key Laboratory of Industrial Control Technology, the College of Control Science and Engineering, Zhejiang University, China, where he is currently a Professor. His research interests include intelligent control, renewable energy systems, smart grid, and industrial big data. (e-mail: qmyang@zju.edu.cn)

Wenxin Liu (S'01-M'05-SM'14) received the B.S. degree in industrial automation and the M.S. degree in control theory and applications from Northeastern University, Shenyang, China, in 1996 and 2000, respectively, and the Ph.D. degree in electrical engineering from the Missouri University of Science and Technology (formerly University of MissouriRolla), Rolla, MO, USA, in 2005. From 2005 to 2009, he was an Assistant Scholar Scientist with the Center for Advanced Power Systems, Florida State University, Tallahassee, FL, USA. From 2009 to 2014, he was an Assistant Professor with the Klipsch School of Electrical and Computer Engineering, New Mexico State University, Las Cruces, NM, USA. He is currently an Associate Professor with the Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, PA, USA. His research interests include power systems, power electronics, and controls. Dr. Liu is an Associate Editor of the IEEE Transactions on Industrial Informatics, an Editor of the IEEE Transactions on Smart Grid, IEEE Transactions on Power Systems, and Journal of Electrical Engineering & Technology. (e-mail: wliu@lehigh.edu)
Corresponding author:
Qinmin Yang, e-mail: qmyang@zju.edu.cn
Received Date: 2018-10-03
Revised Date: 2018-12-27
Accepted Date: 2019-01-13

Abstract

Abstract

A microgrid is hard to control due to its reduced inertia and increased uncertainties. To overcome the challenges of microgrid control, advanced controllers need to be developed. In this paper, a distributed, two-level, communication-economic control scheme is presented for multiple-bus microgrids with each bus having multiple distributed generators (DGs) connected in parallel. The control objective of the upper level is to calculate the voltage references for one-bus subsystems. The objectives of the lower control level are to make the subsystems' bus voltages track the voltage references and to enhance load current sharing accuracy among the local DGs. Firstly, a distributed consensus-based power sharing algorithm is introduced to determine the power generations of the subsystems. Secondly, a discrete-time droop equation is used to adjust subsystem frequencies for voltage reference calculations. Finally, a Lyapunov-based decentralized control algorithm is designed for bus voltage regulation and proportional load current sharing. Extensive simulation studies with microgrid models of different levels of detail are performed to demonstrate the merits of the proposed control scheme.
- Coordinate control,
- decentralized control,
- multiple-bus microgrid,
- paralleled distributed generations,
- power sharing algorithm

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References(36)

References

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Distributed Control of Multiple-Bus Microgrid With Paralleled Distributed Generators

doi: 10.1109/JAS.2019.1911477

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