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基于激光雷达测风在距离加权下的风速重构算法

Wind Speed Reconstruction Algorithm Based on Lidar Wind Measurement under Distance Weighting
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摘要 近年来,激光雷达测风已经成为一种可靠的风速测量技术,目前基于机舱雷达测量风机前方多个距离的风速开发的风速重构算法,大多采用多个距离对应的有效风速求和取平均作为风轮面转子有效风速,为风电机组前馈控制提供输入参数,该方法存在精确度偏低的问题。提出了一种基于最小二乘法计算激光雷达在不同距离上所对应的加权因子,开发出改进型的激光雷达风速重构模型算法,经过实际测试,相比于原有的激光雷达风速重构算法,计算出的风轮面转子有效风速相关性由原来的0.815 1提升到0.858 3,为风电机组前馈控制提供了更加可靠的输入参数。 In recent years, Lidar wind measurement has become a reliable wind speed measurement technology. At present, the wind speed reconstruction algorithm based on the wind speed developed by the cabin radar to measure multiple distances in front of the fan mostly adopts the effective wind speed summation averaging corresponding to multiple distances. The effective wind speed of the rotor on the wind wheel surface provides input parameters for the feedforward control of the wind turbine. The method has the problem of low accuracy. A new method based on least squares was proposed to calculate the weighting factor of laser radar at different distances. An improved laser radar wind speed reconstruction model algorithm was developed. Based on the original Lidar wind speed reconstruction algorithm, the calculated effective wind speed correlation of the rotor face rotor was increased from 0.815 1 to 0.858 3, which provided more reliable input parameters for wind turbine feedforward control.
作者 张超越 董晔弘 莫蕊瑜 ZHANG Chaoyue;DONG Yehong;MO Ruiyu(Shanghai Marine Equipment Research Institute,Shanghai 200031,China;National Engineering Research Center for Offshore Windpower,Chongqing 401122,China)
出处 《能源与节能》 2019年第12期40-43,105,共5页 Energy and Energy Conservation
基金 国家重点研发计划项目(2018YFB1501300)
关键词 风电机组 激光雷达 转子有效风速 泰勒假说 最小二乘法 wind turbines Lidar rotor effective wind speed Taylor hypothesis least square method
作者简介 第一作者:张超越,1995年生,男,河北沧州人,2017年毕业于河北科技大学机械设计制造及其自动化专业,在读硕士研究生。
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