Study on the Wind Energy Utilization Coefficient Surface Identification of Wind Turbine

Article Preview

Abstract:

By analyzing multi-parameter rotor power coefficient model used in wind generator system, fitting surface function and its nonlinear equations set are established. The nonlinear equations set is converted to the linear equations set by Newton method, and then the linear equations ser is being solved. This paper designs the method of collecting sample data to fit rotor power coefficient of wind turbine. Theoretical analysis proves that this method is effective. The example results show that the rotor power coefficient fitted by the method has high accuracy and better value of engineering applications, and is also suitable for the models of wind generator systems with different parameter perturbation situation.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3185-3189

Citation:

Online since:

October 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Sahin A D. Progress and recent trends in wind energy. Progress in Energy and Combustion Science, 2004, 30(5): 501-543.

DOI: 10.1016/j.pecs.2004.04.001

Google Scholar

[2] Leithead W E, Connor B. Control of variable speed wind turbines: dynamic models. Int. Journal of Control, 2000, 73(13): 1173-1188.

DOI: 10.1080/002071700417830

Google Scholar

[3] Ye Hangye. Control technology for wind generator. Beijing: China Machine Press, 2002.

Google Scholar

[4] Slootweg J G, Kling W L, Polinder H. Dynamic modeling of a wind turbine with doubly fed induction generator. Power Engineering Society Summer Meeting, Vancouver, Canada, 2001.

DOI: 10.1109/pess.2001.970114

Google Scholar

[5] Guo Peng. Variable pitch control of wind turbine generator combined wind fuzzy feed forward and fuzzy PID controller. Proceedings of the CSEE, 2010, 30(8): 123-128(in chinese).

Google Scholar

[6] Petru T, Thiringer T. Modeling of wind turbines for power system studies. IEEE Transactions on Power Systems, 2002, 17(4): 1132-1139.

DOI: 10.1109/tpwrs.2002.805017

Google Scholar

[7] Zhang Xinfang, Xu Daping, Liu Yibing. Intelligent control for large-scale variable speed variable pitch wind turbines. Journal of Theory and Application, 2004, 2(3): 305-311.

DOI: 10.1007/s11768-004-0015-9

Google Scholar

[8] Slootweg J G, Polinder H. Representing wind turbine electrical generating systems in fundamental frequency simulations. IEEE Transactions on Energy Conversion, 2003, 18 (4): 516 - 524.

DOI: 10.1109/tec.2003.816593

Google Scholar

[9] Ezzeldin S, Abdin, Wilson Xu. Control design and dynamic performance analysis of a wind turbine-induction generator unit. IEEE Trans. On EC, 2000, 3(15): 91—96.

DOI: 10.1109/60.849122

Google Scholar

[10] Li Qingyang, Wang Nengchao, Yi Dayi. Numerical Analysis. Beijing: Tsinghua University Press, (2008).

Google Scholar

[11] Li Xianyun, Chen Xiaoha, Tang Guoqing. Simulative study on steady-state performance on DFIG. Electric Power Automation Equipment, 2005, 25(12): 6-9.

Google Scholar