Aerodynamic Optimization of Variable Pitch Wind Turbine Blade Based on Adaptive Genetic Algorithm

Article Preview

Abstract:

Take maximum power output of blade element as design target, establish a optimization model of variable pitch wind turbine blade. Using the adaptive genetic algorithm to search for to overcome the shortcomings of early maturity and poor stability, it can reach more close to the global optimum than the classical genetic algorithm. Use this method to design a 3MW variable pitch wind turbine blade, the results show that this optimization model is correct and the method is practical.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

289-292

Citation:

Online since:

November 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Dexin He, "Wind Industry and Industrial Aerodynamic," National Defense Industry Press, Beijing, 2006.

Google Scholar

[2] Xiong Liu and Yan Chen. "Research on the HAWT rotor blades optimization", Institute of Energy Science, vol. 2, Shantou University, Guangdong, China,. 2006, pp.180-185.

Google Scholar

[3] Zhonghe Han and Tiejun Wu, "Optimal Design of Wind Turbine Blades Based On Genetic Algorithm," in Power Engineering, vol. 6, MOE's Key Lab of Condition Monitoring and Control for Power Plant Equipment, North China Electric Power University, pp.955-958, 2008.

DOI: 10.30919/esee8c415

Google Scholar

[4] Holland J H. "Adaptation in Nature and Artifial Systems,". MIT Press 1975.

Google Scholar

[5] De Jonk K A ., "An Analysis of the Bchavior of Class of Genetic Adaptive Systems.PHD Gissertation," University of Michigan., No.76. 1975.

Google Scholar

[6] Goldberg D E. "Genetic Algorithms in Search," "Optimization and Mechine Learning," Addison-Wesley,1989.

Google Scholar

[7] Ming Zhou, Shudong Sun, "Theory and Application of Genetic Algorithm," National Defense Industry Press, Beijing, 1999.

Google Scholar

[8] Chun Gong, Zhenglin Wang, " Master at Matlab optimization," Electronic Industry Press, 2009.

Google Scholar

[9] Yingjie Lei, Shanwen Zhang. " Genetic Algorithm tool box and its application," Xi'an University of Electronic Science and Technology Press, Xi'an, 2005.

Google Scholar