| Title |
Blade Shape Optimization of Wind Turbines Using Genetic Algorithms and Pattern Search Method |
| Authors |
이진학(Yi, Jin-Hak) ; 대니 새일(Sale, Danny) |
| DOI |
https://doi.org/10.12652/Ksce.2012.32.6A.369 |
| Keywords |
블레이드 요소 모멘트 이론;전역적 최적화;패턴 서치 방법;유전자 알고리즘;풍력 터빈;연간발전량 blade element momentum theory;global optimization;pattern search method;genetic algorithm;wind turbine;annual energy production |
| Abstract |
In this study, direct-search based optimization methods are applied for blade shape optimization of wind turbines and the optimization performances of several methods including conventional genetic algorithm, micro genetic algorithm and pattern search method are compared to propose a more efficient method. For this purpose, the currently available version of HARP_Opt (Horizontal Axis Rotor Performance Optimizer) code is enhanced to rationally evaluate the annual energy production value according to control strategies and to optimize the blade shape using pattern search method as well as genetic algorithm. The enhanced HARP_Opt code is applied to obtain the optimal turbine blade shape for 1MW class wind turbines. The results from pattern search method are compared with the results from conventional genetic algorithm and also micro genetic algorithm and it is found that the pattern search method has a better performance in achieving higher annual energy production and consistent optimal shapes and the micro genetic algorithm is better for reducing the calculation time. |