中国电气工程学报（英文） ›› 2021, Vol. 7 ›› Issue (1): 47-54.doi: 10.23919/CJEE.2021.000004

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  • 收稿日期:2020-11-10 修回日期:2021-01-12 接受日期:2021-01-20 发布日期:2021-04-19

Resonance Mechanism Analysis of Large-scale Photovoltaic Power Plant*

Jinjie Lin1, Yong Li1,*, Sijia Hu1, Qianyi Liu2, Jing Zhang1, Shaoyang Wang1, Lihong Dong1, Juan Ni1   

  1. 1. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;
    2. School of Automation, Central South University, Changsha 410083, China
  • Received:2020-11-10 Revised:2021-01-12 Accepted:2021-01-20 Published:2021-04-19
  • Contact: * E-mail: yongli@hnu.edu.cn
  • About author:Jinjie Lin was born in Fuzhou, Fujian, China, in 1995. He received the B.S. degree from Hunan University, Hunan, China, in 2018 and the M.E. degree in electrical engineering in 2020 from Hunan University, Changsha, China, where he is currently working toward the Ph.D. degree in electrical engineering from the College of Electrical and Information Engineering. His research interest is electric power optimization and control.Yong Li (S'09-M'12-SM'14) was born in Henan, China, in 1982. He received the B.S. and Ph.D. degrees in 2004 and 2011, respectively, from the College of Electrical and Information Engineering, Hunan University, Changsha, China. Since 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. After then, he was a research fellow with The University of Queensland, Brisbane, Australia. Since 2014, he is 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.Sijia Hu (S'14-M'16) was born in Hunan, China, in 1987. He received the B.S. and Ph.D. degrees in electrical engineering (and automation) from Hunan University of Science and Technology, Xiangtan, China, and Hunan University (HNU), Changsha, China, in 2010 and 2015, respectively.From May 2016 to Dec. 2019, and from Feb. 2017 to Dec. 2019, he was an assistant professor of Electrical Engineering with HNU, and a research fellow in the Institute of Power and Energy System in The University of Queensland (UQ), Brisbane, Australia, respectively. Since January 2020, he is an associate professor of electrical engineering with HNU. His recent research interests include: modeling, monitoring and energy management of railway power system; state estimation under measurement deficiency and power system load ability determination of distribution power system; design and optimization of power flow controller; design and optimization of magnetic integrated equipment.Qianyi Liu (S'16-M'21) was born in Sichuan, China, in 1992. He received the B.S. degree in electrical engineering and its automation (Railway Electrification) from the Department of Electrical Engineering, Southwest Jiaotong University in 2014, and received the M.E. and Ph.D. degrees in electrical engineering from the College of Electrical and Information Engineering, Hunan University in 2017 and 2020. From 2019 to 2020, he was a visiting Ph.D. student at the Institute of Energy Systems, Energy Efficiency, and Energy Economics (IE3), TU Dortmund University, Dortmund, Germany. Since 2021, he has been a lecturer of electrical engineering with School of Automation, Central South University, Changsha, China. His research interest is electric power optimization and control.Jing Zhang (S'18) was born in Weifang, Shandong, China, in 1996. She received the B.S. degree in electric engineering and automation from Hunan University, Changsha, China, in 2018. She is currently pursuing the Ph.D degree with the College of Electrical and Information Engineering, Hunan University, Changsha, China. Her current research interest is power quality analyses and control.Shaoyang Wang was born in Hebei, China, in 1994. He received the B.S. degree in automation from the Changsha University of Science and Technology, Changsha, China, in 2017, and the M.S. degree in electrical engineering in 2019 from Hunan University, Changsha, China, where he is currently working toward the Ph.D. degree with the College of Electrical and Information Engineering. His research interest is power quality analyses and control.Lihong Dong was born in Yiyang, Hunan, China, in 1997. He received the B.S. degree in electric engineering and automation from Hunan University, Changsha, China, in 2019. He is currently pursuing the M.S. degree with the College of Electrical and Information Engineering, Hunan University, Changsha, China. His current research interest are power quality analyses and high power electroacoustic transducer.Juan Ni was born in Hengyang, Hunan, China, in 1998. She received the B.S. degree in electrical engineering from China University of Mining and Technology, Jiangsu, China, in 2019. She is currently working toward the M.S. degree in electrical engineering at the College of Electrical and Information Engineering, Hunan University, Changsha, China. Her research interests include electric power optimization and control.
  • Supported by:
    * International Science and Technology Cooperation Program of China (2018YFE0125300), the National Natural Science Foundation of China (52061130217), 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: Large-scale PV plants, impedance analysis, system stability, power quality

Abstract: To analyze the resonance mechanism of a photovoltaic (PV) power plant, a simplified impedance model of the PV power plant is first established. The structure of the PV power plant is then introduced, and the reason for the resonance is obtained by analyzing the on-site situation and measured data of the PV power plant. Finally, a simple and effective solution is proposed based on the structure of the PV power plant and its existing facilities. The results of the engineering experiments and the stable operation of the PV power plant verify the effectiveness of the proposed method.

Key words: Large-scale PV plants, impedance analysis, system stability, power quality