Adaptive Maximization of Power Extraction of a Single Wind Turbine

Article Preview

Abstract:

Nowadays the application of extremum seeking controller in various engineering industry has attracted a high research attention. Also, it is one of the best known maximum power point tracking algorithm. It can drive the output to its extreme point automatically and dynamically stabilize around the equilibrium. In this paper, it is implemented via Matlab/Simulink. The extremum seeking control scheme controls the wind turbine to operate at its optimal rotational speed adaptively. Piecewise constant input wind will be applied.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

426-429

Citation:

Online since:

August 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Rishabh Dev Shukla, Dr. R. K. Tripathi, Maximum power extraction schemes & power control in wind energy conversion system, International journal of scientific & engineering research, Vol. 3, Issue 6, Jun-2012, ISSN 2229-5518.

Google Scholar

[2] Kartik B. Ariyur and M3. 36iroslav Krstic, Real-time optimization by extremum seeking control, John-Wiley & Sons Inc., Hoboken, New Jersey, 2003, ISBN 0-471-46859-2.

Google Scholar

[3] Miroslav Krstic, Hsin-Hsiumg Wang, Stability of extremum seeking feedback for general nonlinear dynamic systems, Automatica 36 (2000) 595-601.

DOI: 10.1016/s0005-1098(99)00183-1

Google Scholar

[4] Kathryn E. Johnson, Lucy Y. Pao, Mark J. Balas, and Lee J. Fingersh, Control of variable-speed wind turbines, standard and adaptive techniques for maximizing energy capture, IEEE control system magazine, Jun 2006, pp.70-81.

DOI: 10.1109/mcs.2006.1636311

Google Scholar

[5] Joon-Young Park, Jae-Kyung Lee, Ki-Yong Oh, Jun-shin Lee and Beom-Joo Kim, Design of simulator for 3MW wind turbine and its condition monitoring system, Preoceedings of International MultiConference of Engineers and Computer Scientists 2010, Vol II, IMECS 2010, March 17-19, 2010, HongKong.

Google Scholar