Active Power Consensus Control for Wind Turbines with Time Delays*

doi:10.23919/CJEE.2022.000017

中国电气工程学报（英文） ›› 2022, Vol. 8 ›› Issue (2): 86-96.doi: 10.23919/CJEE.2022.000017

收稿日期:2021-06-08 修回日期:2021-08-19 接受日期:2021-10-25 出版日期:2022-06-25 发布日期:2022-07-08

Active Power Consensus Control for Wind Turbines with Time Delays^*

Shixian Feng, Mei Yu^*, Bo Wei, Feng Xiao

School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China

Received:2021-06-08 Revised:2021-08-19 Accepted:2021-10-25 Online:2022-06-25 Published:2022-07-08
Contact: * E-mail: meiyu@ncepu.edu.cn
About author:Shixian Feng received her B.E. degree in Automation from North China Electric Power University, Beijing, China. She is currently working towards her M.S. in Control Theory and Control Engineering, North China Electric Power University, Beijing, China. Her current research interests include multi-agent, wind power systems, game and distributed power generation.
Mei Yu received her B.S. degree from the Department of Mathematics in 1999, her M.E. degree from the Institution of Automation, Qufu Normal University in 2002, and her Ph.D. degree from the Center for Systems and Control, Department of Mechanics and Engineering Science, Peking University, Beijing, China in 2005. She is an Associate Professor in the School of Control and Computer Engineering, North China Electric Power University. Her research interests include multi-agent control systems, power systems, micro-grid control systems, network control, and complex networks.
Bo Wei received the B.S. degree in Mathematics from the Hubei University for Nationalities, Enshi, China, in 2011, the M.S. degree in Mathematics from China Three Gorges University, Yichang, China, in 2014, and the Ph.D. degree in Control Science and Engineering from the Harbin Institute of Technology, Harbin, China, in 2019. He is currently a Lecturer with the School of Control and Computer Engineering, North China Electric Power University, Beijing, China. His current research interests include coordination of multi-agent systems, event-triggered control, power systems and hybrid dynamical systems.
Feng Xiao received the B.S. and M.S. degrees in Mathematics from Inner Mongolia University, Hohhot, China, in 2001 and 2004, respectively, and the Ph.D. degree in Systems and Control from Peking University, Beijing, China, in 2008. In 2008, he became a Faculty Member with the School of Automation, Beijing Institute of Technology, Beijing. From June 2010 to May 2013, he was a Postdoctoral Fellow with the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada. From January 2016 to January 2017, he was a Visiting Professor with the Department of Mechanical Engineering, University of Victoria, Victoria, BC, Canada. He also served as a Professor with the Harbin Institute of Technology, Harbin, China, and is currently a Professor with the School of Control and Computer Engineering, North China Electric Power University, Beijing, China. His current research interests include group intelligence, coordination control, power systems and networked systems. Prof. Xiao was a recipient of the Izaak Walton Killam Postdoctoral Fellowship and the Dorothy J. Killam Memorial Postdoctoral Fellow Prize at the University of Alberta in 2010, and was a recipient of the Program for New Century Excellent Talents in University, China, and the Excellent Young Scientists Fund by NSFC, China.
Supported by:
* National Natural Science Foundation of China (61873074, 61903140) and the Fundamental Research Funds for the Central Universities (2020MS019).

摘要/Abstract

Abstract: The distributed active power control problem is explored by equating wind turbines to multi-agent systems in this paper. Both time delays and unknown topological relations are considered in the proposed model. Using the graph discovery algorithm, the algebraic connectivity of the graph is found in advance. Further, a proportional control protocol is proposed based on the adjustable margin of different wind turbines. Moreover, the proposed distributed controller not only handles the problem of supply-demand balance between the wind farm and power grid but also regulates the output power of individual wind turbines based on their capacities. Finally, simulations are performed on the wind turbines to illustrate the validity of the proposed method.

Key words: Multi-agent system, active power dispatching, graph discovery, distributed control

. [J]. 中国电气工程学报（英文）, 2022, 8(2): 86-96.

Shixian Feng, Mei Yu, Bo Wei, Feng Xiao. Active Power Consensus Control for Wind Turbines with Time Delays^*[J]. Chinese Journal of Electrical Engineering, 2022, 8(2): 86-96.

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Active Power Consensus Control for Wind Turbines with Time Delays^*

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