基于机舱式多普勒脉冲激光雷达测风的风速重构技术

近年来,激光雷达测风已经成为一种可靠的风速测量技术,为了在风电机组控制和监测中准确高效的使用激光雷达测风数据,需要对激光雷达测风数据进行高效、快速、准确的实时处理。目前机舱式激光雷达测风面临如下问题：激光雷达在受到来流风时会跟随机舱振动,导致实测数据波动进而对风速重构算法产生影响；激光雷达会受到风电机组叶片遮挡,导致实测数据缺失或出现无效数据。本文通过合理配置激光雷达参数,以雷达测风数据作为研究对象,对测风数据进行数值修正,消除机舱振动带来的误差,开发出一套先进先出嵌套循环判断填充算法解决叶片遮挡问题,建立线性剪切风场模型,基于递推最小二乘法求解风场特征参数,最后通过泰勒冻结湍流假说计算风轮面转子有效风速,与机舱内控制参数反演出的转子有效风速进行对比,得出两组数据相关性在0.9374,两组数据差值的标准差为0.3429,结果证明在实际应用中,使用该配置参数的激光雷达通过坐标修正和数据填充等技术手段,开发的风速重构模型算法能够准确的为风电机组控制系统提供可靠的控制输入参数。

Wind field reconstruction technique research based on nacelle-mounted doppler pulsed lidar wind speed measurements

In recent years, lidar wind measurement has become a reliable wind speed measurement technology. In order to accurately and efficiently use lidar wind measurement data in wind turbine control and monitoring, it is necessary to conduct efficient, fast and accurate real-time processing of lidar wind measurement data.At present, engine-room lidar is faced with the following problems: when it is subjected to incoming wind, lidar will follow the engine-room vibration, which will lead to the fluctuation of measured data and affect the wind speed reconstruction algorithm.Lidar will be shielded by wind turbine blades, resulting in missing or invalid measured data.In this article, through the rational allocation of laser radar parameters, radar wind data as the research object, the numerical data of the wind correction, avoid the error caused by engine vibration, developed a fifo nested loop filling algorithm solving the problem of blade barrier, linear shear wind field model is established, based on the recursive least square method for solving the wind field characteristic parameters of the rotor surface through the calculation of frozen turbulence hypothesis Taylor effective wind speed, rotor and the cabin control parameters compared the performance of the rotor effective wind speed, it is concluded that two groups of data correlation in 0.9374, the difference between two groups of data of the standard deviation is 0.3429,The results show that the wind speed reconstruction model algorithm developed by lidar with this configuration parameter can provide reliable control input parameters for wind turbine control system accurately in practical application through coordinate correction and data filling and other technical means.