219
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Model and Performance of Current Sensor Observers for a Doubly Fed Induction Generator

, , , , , , & show all
Pages 1048-1058 | Received 17 May 2013, Accepted 30 Mar 2014, Published online: 24 Jun 2014
 

Abstract

Abstract—This article presents a stator and rotor current observer for a doubly fed induction generator. First, the dynamic models of the wind turbine drive train are presented, and the vector control strategies of a doubly fed induction generator for the rotor-side and grid-side converters are described. A stator and rotor current observer model, which is based on the state–space models of doubly fed induction generators, is then derived by using the stator and rotor voltage signals as inputs. To demonstrate the effectiveness of the proposed current observer, its dynamic performance is simulated using a MATLAB/Simulink software platform under the conditions of active power change of doubly fed induction generators and grid voltage dip fault. Furthermore, the robustness of the proposed current observer is investigated when the doubly fed induction generator rotor resistance is changed. Results show that the proposed observer has good coherence and robustness with the current sensor output when the doubly fed induction generator is in dynamic and transient responses. Compared with the referenced bilinear observer, the proposed observer has better fault-tolerant ability when the fault in the observed current sensor occurs.

APPENDIX. Main parameters of 2-MW doubly fed WTGS

Additional information

Notes on contributors

Hui Li

Hui Li received the M.Eng. and Ph. D degrees in electrical engineering from Chongqing University, Chongqing, China, in 2000 and 2004, respectively. He was a Postdoctoral Research Fellow at the Institute of Energy Technology, Aalborg University, Denmark, in 2005-2007. Since 2008, he has been a professor with the Department of Electrical Machinery and Electrical Apparatus, School of Electrical Engineering of Chongqing University. Currently, he is also a researcher with the State Key Laboratory of Equipment and System Safety of Power Transmission and Distribution & New Technology. His main research areas include wind power generation, design and control of electrical machines.

Chao Yang

Chao Yang received the B.Eng. degree in electrical engineering from the Hubei University for nationalities, Hubei province, China, in 2009. He is currently working toward the Ph.D degrees at the College of Electrical Engineering, Chongqing University, Chongqing, China. Presently, he is a visit Ph.D student with the Department of Energy Technology, Aalborg University, Aalborg, Denmark. His current research interests include operation and control of wind turbine generation system.

Yaogang Hu

Yaogang Hu received the B.Eng. degree in electrical engineering from the University of YanShan, Hebei, China, in 2008, and the Master degree in electrical engineering from the Chongqing University, Chongqing, China, in 2011. He is currently working toward the Ph.D degrees at the Department of Electrical Engineering, Chongqing University. His current research interests are condition monitoring and fault diagnosis for wind turbine generator.

Meng Zhao

Meng Zhao received the B.Eng. degree in electrical engineering from the University of YanShan, Hebei, China, in 2008, and the Master degree in electrical engineering from the Chongqing University, Chongqing, China, in 2011. He is currently an Engineer at Jining Power Supply Branch Co. of China State Grid Co., Jining city, China. His current research interests are control and distribution of power system.

Bin Zhao

Bin Zhao received the Master degree in electrical engineering from the Chongqing University, Chongqing, China, in 2008, where he is now working toward the PhD degree in electrical engineering. His current research interests are control and distribution of power system.

Zhe Chen

Zhe Chen received the B.Eng. and M.Sc. degrees from the Northeast China Institute of Electric Power Engineering, Jilin City, China, and the Ph.D. degree from the University of Durham, Durham, U.K. He is currently a Full Professor with the Department of Energy Technology, Aalborg University, Aalborg, Denmark, where he is the Leader of the Wind Power System Research program. He is the Danish Principal Investigator of Wind Energy of Sino-Danish Centre for Education and Research. Dr. Chen is an Associate Editor (Renewable Energy) of the IEEE TRANSACTIONS ON POWER ELECTRONICS, a Fellow of the Institution of Engineering and Technology (London, U.K.), and a Chartered Engineer in the U.K. His current research interests include power systems, power electronics, electric machines, wind energy, and modern power systems.

Shengquan Liu

Shengquan Liu received the B.E. degree in electrical engineering from Jiangxi University of Science and technology, Jiangxi, China, in 2012. He is currently working toward the Master degree in electrical engineering from the Chongqing University. His current research interests include wind power converter and its reliability.

Dong Yang

Dong Yang received the B.E. degree in electrical engineering from the Chongqing University, Chongqing, China, in 2012, where he is currently working toward the Master degrees in electrical engineering. His current research interest is wind turbine condition monitoring.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 412.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.