The Pitch Control Strategy with the Clonal Selection on Quantum Genetic Algorithm

Huan Wang; Da Tong Zhang; Jian Dong; Yong Zhan Li

doi:10.4028/www.scientific.net/AMM.190-191.1195

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 190-191The Pitch Control Strategy with the Clonal...

The Pitch Control Strategy with the Clonal Selection on Quantum Genetic Algorithm

Abstract:

This chapter reviews the objectives and techniques used in the control of wind turbines at the individual turbine level, where controls are applied to the turbine blade pitch and generator. The paper analyses the control strategy of the wind power generation, optimizes the power output energy conversion factor of the optimal tip-speed ratio and the optimal tip-speed ratio using the clonal selection on quantum genetic algorithm. After reviewing basic turbine control objectives, we provide an overview of the common basic linear control approaches and then describe more advanced control architectures and why they may provide significant advantages.

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Periodical:

Applied Mechanics and Materials (Volumes 190-191)

Pages:

1195-1197

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.190-191.1195

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Online since:

July 2012

Authors:

Huan Wang, Da Tong Zhang, Jian Dong, Yong Zhan Li

Keywords:

Blade, Control Strategy, Pitch, Tip-Speed Ratio, Turbines

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