摘要
以ITI Barge型漂浮式风力机平台为研究对象,对风力机机舱配置的调谐质量阻尼器(TMD)各参数采用全局多目标优化算法-多岛遗传算法进行优化设计。按最优解重新设置TMD参数,并与漂浮式风力机无控制及传统参数TMD控制的效果进行了对比分析。结果表明:漂浮式风力机塔顶左右位移及平台横摇随TMD质量增加均呈现出先减小后增大的趋势,阻尼变化对其具有一定影响,刚度变化对其影响较小;优化后TMD漂浮式风力机横摇标准差分别是无控制和传统TMD控制的37%和63%,塔顶左右位移标准差也减小,分别是无控制和传统TMD控制的42%和67%。
Taking the ITI Barge floating wind turbine platform as an object of study, the configuration parameters of tuned mass damper （TMD） matched for the wind turbine were optimized and designed based on global multi-objective optimization algorithm with multi-island genetic algorithm （MIGA）. After resetting the TMD parameters with optimal solution, the control effect of optimized TMD controlled floating wind turbine were compared with that of uncontrolled and traditional TMD controlled wind turbine. Results show that, both the tower top displacement and the platform roll first reduce and then increase with rising TMD mass; the damping variation has a certain influence while the stiffness change affects little on above two parameters. The roll standard deviation of optimized TMD controlled floating wind turbine is respectively 37% and 63%of the uncontrolled and traditional TMD controlled one, and the top displacement standard deviation is respectively 42% and 67% of the latter two accordingly.
作者
周红杰
丁勤卫
李春
郝文星
余万
ZHOU Hongjie;DING Qinwei;LI Chun;HAO Wenxing;YU Wan(School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, Shanghai 200093, China)
出处
《动力工程学报》
CAS
CSCD
北大核心
2018年第5期406-411,417,共7页
Journal of Chinese Society of Power Engineering
基金
国家自然科学基金资助项目(51676131
51176129)
上海市科委资助项目(13DZ2260900)
关键词
漂浮式风力机
TMD
多岛遗传算法
参数优化
floating wind turbine
TMD
multi-island genetic algorithm
parameter optimization
