检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:胡超 周丙浩 马勇[1,3] 徐稼航 杨乐乐 Hu Chao;Zhou Binghao;Ma Yong;Xu Jiahang;Yang Lele(College of Shipbuilding Engineering,Harbin Engineering University,Harbin 150001,China;CHEC Dredging Co.,Ltd.,Shanghai 200136,China;School of Marine Engineering and Technology,Sun Yat-Sen University,Guangzhou 518000,China)
机构地区:[1]哈尔滨工程大学船舶工程学院,哈尔滨150001 [2]中港疏浚有限公司,上海200136 [3]中山大学海洋工程与技术学院,广州518000
出 处:《太阳能学报》2021年第3期135-141,共7页Acta Energiae Solaris Sinica
基 金:南方海洋科学与工程广东省实验室创新研究项目(311020013);国家自然科学基金(51779062,52071348);广东省自然资源厅促进经济高质量发展项目(GDOE[2020]026)。
摘 要:基于粒子群算法编写风力机叶片优化程序,利用Matlab/Simulink接口嵌入到FAST主程序之中实现叶片优化程序与FAST之间的交互,以实现风力机最大发电功率为优化目标,完成风力机叶片气动外形的自动寻优。该方法可考虑实际海况及风力机搭载平台对叶片优化结果的影响,可同时考虑风向分布对优化结果的影响。NREL 5 MW风力机低风速下的优化结果表明,经过优化后的风力机功率提高1.5%。当考虑实际风力机布置海域风向分布情况时,加权优化结果表明风力机最大功率可提高3.8%。Optimization program of the wind turbine blade has been developed based on the PSO algorithm in this manuscript. The program is embedded into the main program of the FAST by using the MATLAB Simulation interface to realize the interaction between the blade optimization program and FAST. The simulation goal aims at realizing the maximum power output and completing the automatic aerodynamic shape optimization of the wind turbine blade. The simulation method not only takes the influence of the actual sea condition and the deployment of the platform on the optimization result into consideration,but also considers the influence of the wind direction distribution. The optimization results at low wind condition showed that the power output of the optimized wind turbine has increased 1.5%. The weighted optimization result showed that the power output has increased 3.8% when the wind direction distribution is considered.
关 键 词:海上风力机 叶片优化 粒子群优化 FAST SIMULINK
分 类 号:TK7[动力工程及工程热物理—流体机械及工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.74