풍력터빈 최적 날개 형상에 대한 제어 알고리즘 및 풍속의 영향

Abstract

Recently, the horizontal axis rotor performance optimizer (HARP_Opt) tool was developed in the National Renewable Energy Laboratory [1], and this tool is getting more popular in wind turbine industry and research groups. HARP_Opt was developed based on the blade element momentum theory (BEMT) and the genetic algorithm. In this study, the pattern search algorithm is utilized to enhance the optimization capability in calculation time and optimized design performance, and the effects of rotor control algorithms including fixed speed and fixed pitch (FSFP), variable speed and fixed pitch (VSFP), fixed speed and variable pitch (FSVP), and variable speed and variable pitch (VSVP) algorithms on the optimal blade shapes are investigated and also the effects of environmental wind data are also evaluated through the results obtained from HARP_Opt. The performance indices such as annual energy production, thrust, torque and roof flap force are compared with each other.veloped based on the blade element momentum theory (BEMT) and the genetic algorithm. In this study, the pattern search algorithm is utilized to enhance the optimization capability in calculation time and optimized design performance, and the effects of rotor control algorithms including fixed speed and fixed pitch (FSFP), variable speed and fixed pitch (VSFP), fixed speed and variable pitch (FSVP), and variable speed and variable pitch (VSVP) algorithms on the optimal blade shapes are investigated and also the effects of environmental wind data are also evaluated through the results obtained from HARP_Opt. The performance indices such as annual energy production, thrust, torque and roof flap force are compared with each other.