中国电气工程学报（英文） ›› 2022, Vol. 8 ›› Issue (2): 3-12.doi: 10.23919/CJEE.2022.000010

所属专题： Special Issue on Active Control and Protection of Future Renewables-dominated Distribution Grid

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  • 收稿日期:2022-03-30 修回日期:2022-05-05 接受日期:2022-06-30 出版日期:2022-06-25 发布日期:2022-07-08

Transient Characteristics and Quantitative Analysis of Electromotive Force for DFIG-based Wind Turbines during Grid Faults*

Yumei Ma1, Donghai Zhu1,*, Xudong Zou1, Yong Kang1, Josep M. Guerrero2   

  1. 1. Key Laboratory of Power Electronics and Energy Management for Ministry of Education of China, Huazhong University of Science and Technology, Wuhan 430074, China;
    2. Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark
  • Received:2022-03-30 Revised:2022-05-05 Accepted:2022-06-30 Online:2022-06-25 Published:2022-07-08
  • Contact: * E-mail: zhudh@hust.edu.cn
  • About author:Yumei Ma (Student Member, IEEE) was born in Dezhou, China, in 1999. She received the B.S. degree in Electrical Engineering from Guizhou University, Guiyang, China, in 2020. She is currently working toward the Ph.D. degree with the School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China.Her current research interests include renewable energy generation systems, stability and power quality of converter-based power systems.
    Donghai Zhu (Member, IEEE) was born in Anhui, China. He received the Ph.D. degree in Electrical Engineering from the Huazhong University of Science and Technology, Wuhan, China, in 2018. He is currently an Associate Professor with the School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan. His current research interests include renewable energy generation systems and power electronic converters.Dr. Zhu was selected for the National Postdoctoral Program for Innovative Talents in 2018 and the Postdoctoral Post for Innovative Research in Hubei Province in 2019. He was a recipient of the International Journal of Electrical Power and Energy Systems Outstanding Reviewer in 2018 and the IEEE Transactions on Energy Conversion Best Paper Award in 2019.
    Xudong Zou (Member, IEEE) was born in Hunan, China, in 1974. He received the B.S., M.S., and Ph.D. degrees in Electrical Engineering from the Huazhong University of Science and Technology, Wuhan, China, in 1997, 2000, and 2005, respectivelySince 2005, he has been a Faculty Member with the Huazhong University of Science and Technology, where he is currently a Full Professor with the School of Electrical and Electronic Engineering. His current research interests include power electronic converters, renewable energy generation system, and flywheel energy storage. Dr. Zou was a recipient of the IEEE Transactions on Energy Conversion Best Paper Award in 2019.
    Yong Kang (Senior Member, IEEE) was born in Hubei, China, in 1965. He received the B.E., M.E., and Ph.D. degrees in Electrical Engineering from the Huazhong University of Science and Technology, Wuhan, China, in 1988, 1991, and 1994, respectively.Since 1994, he has been a Faculty Member with the Huazhong University of Science and Technology, where he is currently a Full Professor with the School of Electrical and Electronic Engineering. His research interests include the power electronic converters, ac drivers, and renewable energy generation systems.Dr. Kang was a recipient of the Delta Scholar Award from the Delta Environmental and Educational Foundation in 2005, and supported by the Program for New Century Excellent Talents in University from the Chinese Ministry of Education in 2004. In 2017, he was appointed as the Chief Scientist of the National Key R&D Program of China. He was a recipient of the highly prestigious China National Science and Technology Award in 2019. He currently serves as the Vice Chairman of the China UPS Standard Committee and an Associate Editor for the Journal of Power Electronics.
    Josep M. Guerrero (Fellow, IEEE) received the B.S. degree in Telecommunications Engineering, the M.S. degree in Electronics Engineering, and the Ph.D. degree in Power Electronics from the Technical University of Catalonia, Barcelona, in 1997, 2000, and 2003, respectively. Since 2011, he has been a Full Professor with the Department of Energy Technology, Aalborg University, Denmark, where he is responsible for the Microgrid Research Program. He has been the Chair Professor with Shandong University, since 2014, a Distinguished Guest Professor with Hunan University, since 2015, a Visiting Professor Fellow with Aston University, UK, since 2016, and a Guest Professor with the Nanjing University of Posts and Telecommunications. In 2019, he became a Villum Investigator. He has published more than 500 journal articles in the fields of microgrids and renewable energy systems, which are cited more than 30 000 times. His research interests include oriented to different microgrid aspects, including power electronics, distributed energy storage systems, hierarchical and cooperative control, energy management systems, smart metering, and the Internet of Things for AC/DC microgrid clusters and islanded minigrids, recently specially focused on maritime microgrids for electrical ships, vessels, ferries, and seaports. In 2015, he was elevated as a fellow of IEEE for his contributions on Distributed power systems and microgrids.'' He received the Best Paper Award of the IEEE Transactions on Energy Conversion, from 2014 to 2015, and the Best Paper Prize of IEEE-PES, in 2015, and the Best Paper Award of the Journal of Power Electronics, in 2016. For five consecutive years, from 2014 to 2018, he was awarded by Clarivate Analytics (former Thomson Reuters) as the Highly Cited Researcher. He is an associate editor for a number of IEEE Transactions.
  • Supported by:
    * National Natural Science Foundation of China under Grant 51907072, in part by the Fundamental Research Funds for the Central Universities under Grant 2021XXJS004.

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Abstract: For doubly-fed induction generator (DFIG)-based wind turbines (WTs), various advanced control schemes have been proposed to achieve the low voltage ride through (LVRT) capability, whose parameters design is significantly reliant on the rotor electromotive force (EMF) of DFIG-based WTs. However, the influence of the rotor current on EMF is usually ignored in existing studies, which cannot fully reflect the transient characteristics of EMF. To tackle with this issue, this study presents a comprehensive and quantitative analysis of EMF during grid faults considering various control modes. First, the DFIG model under grid faults is established. Subsequently, the transient characteristics of EMF are analyzed under different control modes (that is, rotor open-circuit and connected to converter). Furthermore, the EMF transient eigenvolumes (that is, accessorial resistance item, transient decay time constant, and frequency offset) are quantitatively analyzed with the typical parameters of MW-level DFIG-based WT. The analysis results contribute to the design of the LVRT control scheme. Finally, the analysis is validated by the hardware-in-the-loop experiments.

Key words: Doubly-fed induction generator (DFIG), electromotive force (EMF), quantitative analysis, transient characteristics, wind turbines (WTs), grid faults