Optimization Design of Blades Based on Multi-Objective Particle Swarm Optimization Algorithm

被引：0
|
作者：
Li, Zihao [1 ]
Wang, Wei [1 ]
Xie, Yonghe [1 ]
Li, Detang [1 ]
机构：
[1] Zhejiang Ocean Univ, Sch Naval Architecture & Maritime, Zhoushan 316000, Peoples R China
来源：
JOURNAL OF MARINE SCIENCE AND ENGINEERING | 2025年 / 13卷 / 03期
关键词：
floating offshore wind turbines; multi-objective PSO algorithm; aerodynamic efficiency; structural strength; collaborative optimization;
D O I：
10.3390/jmse13030486
中图分类号：
U6 [水路运输]; P75 [海洋工程];
学科分类号：
0814 ; 081505 ; 0824 ; 082401 ;
摘要：
Among renewable energy sources derived from the ocean, wind power has developed rapidly. This article proposes an optimization algorithm framework that integrates two objectives: aerodynamic shape optimization and structural optimization. For practical reasons, the 5-MW wind turbine blade was selected as the research object, and the sea conditions near the East China Sea were chosen as the environmental parameters for its service environment. The FAST simulation software was employed for verification purposes. The results indicated that the optimized blade not only meets the target power output but also possesses unique economic advantages, such as being lightweight and exhibiting low aerodynamic force.
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页数：27
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