Research on the Control System of DFIG Wind Generation

Jin Liu; Yin Suo Niu; Yi Gong Zhang

doi:10.4028/www.scientific.net/AMM.421.605

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 421Research on the Control System of DFIG Wind...

Research on the Control System of DFIG Wind Generation

Abstract:

This paper researches on the control system for wind power generation of DFIG (Doubly Fed Induction Generator). DSP TMS320F28335 was used as the core CPU of the control system, which can meet the requirement of high precision and real time. An embedded real-time operation system (RTOS) was transplanted into TMS320F28335 and some function blocks in common use were added into the RTOS. The human-machine interface of the control system was programmed with LabVIEW, which perform the control function and can process the data came from the control system. By using this control system, many control arithmetic of wind power generation of DFIG can be tested in the laboratory.

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Periodical:

Applied Mechanics and Materials (Volume 421)

Pages:

605-608

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.421.605

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Online since:

September 2013

Authors:

Jin Liu, Yin Suo Niu, Yi Gong Zhang

Keywords:

Control System, Double Fed Induction Generation (DFIG), DSP, LabVIEW, Wind Generation

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References

[1] Prof. Dr. Manfred Stiebler. Wind Energy Systems for Electric Power Generation,. (2008).

Google Scholar

[2] Jin Liu and Yinsuo Niu, Research on the universal power electronic control platform based on real time operation system, presented at 2009 International Conference on Sustainable Power Generation and Supply. SUPERGEN 2009, Nanjing, China, (2009).

DOI: 10.1109/supergen.2009.5348372

Google Scholar

[3] LIU jin, HAO xiao-fei, YANG yong-hong, ZHANG yi-gong, Research on the Universal Power Electronic Control Platform Based on μCOS-II. The fourth power quality (international) proceedings. Beijing: China Electric Power Press (2008).

Google Scholar

[4] LIU jin, Jia junchuan. Research of Wind Farm SVC Control System Based on Real-Time Operation System. APEEC 2010: 96-99.

Google Scholar

[5] DSP TMS320F28335, Datasheet: http: /www. ti. com.

Google Scholar

[6] National Instruments Corp. LabVIEW Simulation Interface Toolkit User Guide, " October 2003 [Online]. Available: http: /digital. ni. com.

Google Scholar

[7] Jia, Junchuan; Liu, Jin; Zhang, Yigong. Dynamic characteristics of stator flux of doubly-fed induction generator during grid voltage fault. Proceedings of the Chinese Society for Electrical Engineering, 2011, 3(31): 90-96.

DOI: 10.1109/cris.2010.5617514

Google Scholar

[8] Jia, Junchuan; Liu, Jin; Zhang, Yigong. Novel reactive power optimization control strategy for doubly fed induction wind power generation system. Proceedings of the Chinese Society for Electrical Engineering, 2010, 30(30): 87-92.

DOI: 10.1109/powercon.2010.5666701

Google Scholar

[9] Jia, Junchuan; Liu, Jin; Zhang, Yigong. Power control of DFIG based wind power system incorporated with embedded energy storage. Automation of Electric Power Systems, 2010, 15(34): 80-84.

DOI: 10.1109/powercon.2010.5666701

Google Scholar