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http://dx.doi.org/10.5139/JKSAS.2002.30.6.007

A Study on the Wind Turbine Blade Optimization and Pitch Control Using the Hybrid Genetic Algorithm  

Kang, Shin-Jae (전북대학교 기계항공시스템공학부)
Kim, Ki-Wan (한국과학기술원 항공우주공학 대학원)
Ryu, Ki-Wahn (전북대학교 기계항공시스템공학부)
Song, Ki-Jung (전북대학교 정밀기계공학 대학원)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.30, no.6, 2002 , pp. 7-13 More about this Journal
Abstract
This paper introduced a new hybrid genetic algorithm, verified its performance, and applied it to the optimization of blade design and pitch control for 30kW pitch-controlled variable-speed horizontal-axis wind turbine system to determine the optimum blade chord and twist distributions that maximize the energy production for a given Weibull wind distribution and the optimum blade pitch angles that maintain constant power output.
Keywords
Genetic Algorithm; Wind Turbine; Blade Optimization; Pitch Control; Variable Speed Generation;
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