中国电气工程学报（英文） ›› 2021, Vol. 7 ›› Issue (1): 63-72.doi: 10.23919/CJEE.2021.000006

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  • 收稿日期:2020-12-05 修回日期:2021-01-21 接受日期:2021-02-24 发布日期:2021-04-19

Multi-objective Model Predictive Control of Grid-connected Three-level Inverter Based on Hierarchical Optimization*

Ting Liu1, Yong Li1,*, Li Jiang1, Jianghu Wan2, Jiaqi Yu3, Chao Ding1, Yijia Cao1   

  1. 1. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;
    2. School of Automation, Central South University, Changsha 410083, China;
    3. College of Electronic Information and Electrical Engineering, Changsha University, Changsha 410022, China
  • Received:2020-12-05 Revised:2021-01-21 Accepted:2021-02-24 Published:2021-04-19
  • Contact: * E-mail: yongli@hnu.edu.cn
  • About author:Ting Liu was born in Chongqing, China, in 1999. She received her B.S. degree in electrical engineering from the College of Electrical and Information Engineering, Hunan University, Changsha, China. She is currently working toward her M.S. degree at Hunan University. Her current research interests include control of three-phrase PWM converters and model predictive control.Yong Li (S'09-M'12-SM'14) was born in Henan, China, in 1982. He received the B.Sc. and Ph.D. degrees in 2004 and 2011, respectively, from the College of Electrical and Information Engineering, Hunan University, Changsha, China. From 2009, he worked as a research associate at the Institute of Energy Systems, Energy Efficiency, and Energy Economics (IE3), TU Dortmund University, Dortmund, Germany, where he received the second Ph.D. degree in June 2012. Then, he was a research fellow with The University of Queensland, Brisbane, Australia. Since 2014, he has been a full professor of electrical engineering with Hunan University. His current research interests include power system stability analysis and control; AC-DC energy-conversion systems and equipment, analysis, and control of power quality; and HVDC and FACTS technologies.Li Jiang was born in Hunan, China, in 1991. He received the B.S. degree from the Hunan University of Technology, Zhuzhou, China, in 2015 and the M.S. degree from Central South University, Changsha, China, in 2018, both in control science and engineering. He is currently working toward the Ph.D. degree in electrical engineering at Hunan University, Changsha, China. His current research interests include bidirectional DC-DC converters, solid-state transformers, and modeling and charging strategies for Li-ion batteries.Jianghu Wan was born in Sichuan, China, in 1991. He received B.S. degree from the Central South University, Changsha, China, in 2014, and the M.S. degree from Central South University, Changsha, China, in 2017, both in control science and engineering. He is currently working toward the Ph.D. degree in control science and engineering at Hunan University, Changsha, China. His current research interests include bidirectional DC-DC converters, control of three-phrase PWM rectifiers, and soft-switching technology.Jiaqi Yu was born in Liaoning, China, in 1989. She received the B.S. degree in electrical engineering from North University of China, Taiyuan, China, in 2011 and the Ph.D. degree in electrical engineering in Hunan University, Changsha, China, in 2018. Since 2019, she has been a lecturer of electrical engineering with Changsha University. Her current research interests include power quality, renewable energy systems, and multilevel converters.Chao Ding was born in Henan, China, in 1996. He received his B.S. degree in electrical engineering from the College of Electrical and Information Engineering, Hunan University, Changsha, China. He is currently working towards his M.S. degree at Hunan University. His current research interests include the control strategy and topology of LLC resonant converters for battery charging.Yijia Cao (M'98) was born in Hunan, China, in 1969. He graduated from Xi'an Jiaotong University, Xi'an, China in 1988 and received M.S. degree from Huazhong University of Science and Technology (HUST), Wuhan, China, in 1991 and Ph.D. from HUST in 1994. From September 1994 to April 2000, he worked as a visiting research fellow, research fellow at Loughborough University, Liverpool University and University of the West England, UK. From 2000 to 2001, he was employed as a full professor of HUST, and from 2001 to 2008, he was employed as a full professor of Zhejiang University, China. He was appointed deputy dean of College of Electrical Engineering, Zhejiang University, in 2005. Currently, he is a full professor and president of Changsha University of Science and Technology, Changsha, China. His research interests are power system stability control and the application of intelligent systems to power systems.
  • Supported by:
    * Key Research and Development Program of Hunan Province of China (2018GK2031), the Independent Research Project of State Key Laboratory of Advance Design and Manufacturing for Vehicle Body (71965005), the Innovative Construction Program of Hunan Province of China (2019RS1016), the 111 Project of China (B17016), and the Excellent Innovation Youth Program of Changsha of China (KQ2009037).

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关键词: Multi-objective model predictive control, grid-connected three-level inverter, hierarchical optimization, fuzzy satisfaction decision, average ranking criterion

Abstract: In order to solve the problem of weighting factors selection in the conventional finite-control-set model predictive control for a grid-connected three-level inverter, an improved multi-objective model predictive control without weighting factors based on hierarchical optimization is proposed. Four control objectives are considered in this strategy. The grid current and neutral-point voltage of the DC-link are taken as the objectives in the first optimization hierarchy, and by using fuzzy satisfaction decision, several feasible candidates of voltage vectors are determined. Then, the average switching frequency and common-mode voltage are optimized in the second hierarchy. The average ranking criterion is introduced to sort the objective functions, and the best voltage vector is obtained to realize the coordinated control of multiple objectives. At last, the effectiveness of the proposed strategy is verified by simulation results.

Key words: Multi-objective model predictive control, grid-connected three-level inverter, hierarchical optimization, fuzzy satisfaction decision, average ranking criterion