Using PSO Algorithm to Compensate Power Loss Due to the Aeroelastic Effect of the Wind Turbine Blade

Power loss due to the aeroelastic effect of the blade is becoming an important problem of large-scale blade design. Prior work has already employed the pretwisting method to deal with this problem and obtained some good results at reference wind speed. The aim of this study was to compensate for the...

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Main Authors: Ying Zhao, Caicai Liao, Zhiwen Qin, Ke Yang
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Processes
Subjects:
Online Access:https://www.mdpi.com/2227-9717/7/9/633
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spelling doaj-3f656b0f09d24bbab08831ce693ae0ae2020-11-25T02:01:24ZengMDPI AGProcesses2227-97172019-09-017963310.3390/pr7090633pr7090633Using PSO Algorithm to Compensate Power Loss Due to the Aeroelastic Effect of the Wind Turbine BladeYing Zhao0Caicai Liao1Zhiwen Qin2Ke Yang3Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, ChinaInstitute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, ChinaInstitute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, ChinaInstitute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, ChinaPower loss due to the aeroelastic effect of the blade is becoming an important problem of large-scale blade design. Prior work has already employed the pretwisting method to deal with this problem and obtained some good results at reference wind speed. The aim of this study was to compensate for the power loss for all of the wind speeds by using the pretwisting method. Therefore, we developed an aeroelastic coupling optimization model, which takes the pretwist angles along the blade as free variables, the maximum AEP (annual energy production) as the optimal object, and the smooth of the twist distribution as one of the constraint conditions. In this optimization model, a PSO (particle swarm optimization) algorithm is used and combined with the BEM-3DFEM (blade element momentum—three-dimensional finite element method) model. Then, the optimization model was compared with an iteration method, which was recently developed by another study and can well compensate the power loss at reference wind speed. By a design test, we found that the power loss can be reduced by pretwisting the origin blade, whether using the optimization model or the iteration method. Moreover, the optimization model has better ability than the iteration method to compensate the power loss with lower thrust coefficient while keeping the twist distribution smooth.https://www.mdpi.com/2227-9717/7/9/633aeroelastic effectpretwisting methodpower lossoptimization modelpretwist angle
collection DOAJ
language English
format Article
sources DOAJ
author Ying Zhao
Caicai Liao
Zhiwen Qin
Ke Yang
spellingShingle Ying Zhao
Caicai Liao
Zhiwen Qin
Ke Yang
Using PSO Algorithm to Compensate Power Loss Due to the Aeroelastic Effect of the Wind Turbine Blade
Processes
aeroelastic effect
pretwisting method
power loss
optimization model
pretwist angle
author_facet Ying Zhao
Caicai Liao
Zhiwen Qin
Ke Yang
author_sort Ying Zhao
title Using PSO Algorithm to Compensate Power Loss Due to the Aeroelastic Effect of the Wind Turbine Blade
title_short Using PSO Algorithm to Compensate Power Loss Due to the Aeroelastic Effect of the Wind Turbine Blade
title_full Using PSO Algorithm to Compensate Power Loss Due to the Aeroelastic Effect of the Wind Turbine Blade
title_fullStr Using PSO Algorithm to Compensate Power Loss Due to the Aeroelastic Effect of the Wind Turbine Blade
title_full_unstemmed Using PSO Algorithm to Compensate Power Loss Due to the Aeroelastic Effect of the Wind Turbine Blade
title_sort using pso algorithm to compensate power loss due to the aeroelastic effect of the wind turbine blade
publisher MDPI AG
series Processes
issn 2227-9717
publishDate 2019-09-01
description Power loss due to the aeroelastic effect of the blade is becoming an important problem of large-scale blade design. Prior work has already employed the pretwisting method to deal with this problem and obtained some good results at reference wind speed. The aim of this study was to compensate for the power loss for all of the wind speeds by using the pretwisting method. Therefore, we developed an aeroelastic coupling optimization model, which takes the pretwist angles along the blade as free variables, the maximum AEP (annual energy production) as the optimal object, and the smooth of the twist distribution as one of the constraint conditions. In this optimization model, a PSO (particle swarm optimization) algorithm is used and combined with the BEM-3DFEM (blade element momentum—three-dimensional finite element method) model. Then, the optimization model was compared with an iteration method, which was recently developed by another study and can well compensate the power loss at reference wind speed. By a design test, we found that the power loss can be reduced by pretwisting the origin blade, whether using the optimization model or the iteration method. Moreover, the optimization model has better ability than the iteration method to compensate the power loss with lower thrust coefficient while keeping the twist distribution smooth.
topic aeroelastic effect
pretwisting method
power loss
optimization model
pretwist angle
url https://www.mdpi.com/2227-9717/7/9/633
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