摘要
基于常规的紊流风速功率谱很难准确预测风力发电机组的极值荷载与疲劳荷载。为准确预测风电机组作用荷载,在明确叶片旋转效应物理机制的基础上,推导了样本互相关函数与Fourier互谱之间的关系,进而提出了旋转Fourier风速谱模型。为全面把握旋转Fourier谱的物理本质,探索了影响旋转Fourier谱的主要参数(包括计算半径、叶片旋转速度、平均风速、地面粗糙度等),并进行了相应的参数分析。研究表明,相比传统紊流风谱而言,旋转Fourier谱更具物理意义及工程价值。
Conventional wind turbulent speed spectra are difficult to accurately predict the extreme loads and fatigue loads of wind turbines.To predict those loads accurately,based on a clear physical mechanism of blade rotational effect,a relationship between Fourier spectra and the cross-correlation function of samples was derived,and a rotational Fourier wind spectrum model was proposed.To comprehensively grasp the physical essence of rotational Fourier spectra,the main influencing parameters of rotational Fourier spectra were explored, including calculating radius, blade rotational speed, mean wind speed, surface roughness,etc.And then the analysis of corresponding parameter was carried out.The research results show that the rotational Fourier spectra have more physical meaning and engineering value compared with conventional wind turbulent speed spectra.
出处
《电力建设》
2014年第8期119-124,共6页
Electric Power Construction
基金
国家高技术研究发展计划项目(863计划)(2008AA05Z413)
中国博士后科学基金项目(20110490702)
水沙科学与水利水电工程国家重点实验室开放基金项目(SKLHSE-2012-D-02)
华北电力设计院工程有限公司科标业项目(K2011-T03
K2013-T501
Y2013-T501)
关键词
风力发电机组
旋转Fourier谱
物理机制
参数分析
物理意义
wind turbine system
physical mechanism
rotational Fourier spectrum
parameter analysis
physical significance
作者简介
贺广零（1982），男，博士，高级工程师，主要从事新能源结构分析与设计，E—mMl：hglcool@126．com；
佟辉（1967），男，高级工程师，主要从事电力生产技术管理工作，E-mMl：tongh@cnpc．com．cn。
