Blade layers optimization of wind turbines using FAST and improved PSO Algorithm
Liao, C. C.1,3; Zhao, X. L.1,2; Xu, J. Z.1,2
刊名RENEWABLE ENERGY
2012-06-01
卷号42页码:227-233
关键词Blade layers Optimum design Spar caps Maximum blade tip deflection Improved particle swarm optimization
英文摘要Based on the blade layers, a multi-criteria constrained optimum design model for wind turbine blades is developed and programmed. This model is pursued with respect to minimum blade mass to reduce the cost of wind turbine production. Because the spar caps are the main parts to endure the loads in modern wind turbines, the thickness and the location of the layers on spar caps are chosen as the optimization variables. During the process of design, a lot of criteria need be satisfied. The maximum blade tip deflection is one of the most important criteria in the blade design. However, to get it, at least 130 load cases need be computed in engineering design, so the process is very time consuming. To decrease the computation time, the load case which presents the maximum tip deflection in the initial design is selected and calculated by FAST software in this model. Besides, an improved particle swarm optimization (1350) algorithm, which has better optimization capability and efficiency than the original PSO algorithm, is used to search the optimum solution. To build this model based on the blade layers, a key module used to link the FAST and the improved PSO algorithm is programmed and named PreLayers. At last, this optimization model is applied in an MW wind turbine design. The optimal results have also been tested by FOCUS5. The computed results show that this model is efficient and can be an optimal design tool in the engineering design. (C) 2011 Elsevier Ltd. All rights reserved.
WOS标题词Science & Technology ; Technology
类目[WOS]Energy & Fuels
研究领域[WOS]Energy & Fuels
收录类别SCI ; ISTP
语种英语
WOS记录号WOS:000301216300037
公开日期2015-12-22
内容类型期刊论文
源URL[http://ir.etp.ac.cn/handle/311046/101508]  
专题工程热物理研究所_中国科学院工程热物理所(论文库)_期刊论文(SCI)
作者单位1.Chinese Acad Sci, Inst Engn Thermophys, Beijing, Peoples R China
2.Chinese Acad Sci, Key Lab Wind Energy Utilizat, Beijing, Peoples R China
3.Chinese Acad Sci, Grad Sch, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Liao, C. C.,Zhao, X. L.,Xu, J. Z.. Blade layers optimization of wind turbines using FAST and improved PSO Algorithm[J]. RENEWABLE ENERGY,2012,42:227-233.
APA Liao, C. C.,Zhao, X. L.,&Xu, J. Z..(2012).Blade layers optimization of wind turbines using FAST and improved PSO Algorithm.RENEWABLE ENERGY,42,227-233.
MLA Liao, C. C.,et al."Blade layers optimization of wind turbines using FAST and improved PSO Algorithm".RENEWABLE ENERGY 42(2012):227-233.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace