Inflow Inversion and Error Correction Method for Nacelle-based LiDAR Under Wake Influence

XIE Zhen; LIN Zhongwei

doi:10.19805/j.cnki.jcspe.2026.250331

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Inflow Inversion and Error Correction Method for Nacelle-based LiDAR Under Wake Influence

更新时间：2026-06-11

- Inflow Inversion and Error Correction Method for Nacelle-based LiDAR Under Wake Influence
- Chinese Journal of Power Engineering Vol. 46, Issue 6, Pages: 98-108(2026)
- 作者机构：
  
  1. 华北电力大学控制与计算机工程学院,北京,102206
  2. 华北电力大学新能源电力系统全国重点实验室,北京,102206
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2026.250331
  CLC： TM315;TP274
- Published：2026
- 稿件说明：
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谢镇, 林忠伟. 尾流影响下机舱式激光雷达入流反演与误差修正方法[J]. 动力工程学报, 2026, 46(6): 98-108.
谢镇, 林忠伟. 尾流影响下机舱式激光雷达入流反演与误差修正方法[J]. 动力工程学报, 2026, 46(6): 98-108. DOI： 10.19805/j.cnki.jcspe.2026.250331.

DOI： 10.19805/j.cnki.jcspe.2026.250331

摘要

为克服机舱式激光雷达在尾流影响下的测量原理缺陷

提出一种融合解析建模与数据驱动的入流风场反演方法。该方法构建了考虑风电机组尾流效应与风轮诱导效应的解析式入流风场模型

并考虑入流条件的不确定性

基于实测数据对模型中的关键参数进行校准。结合校准后模型进行测量误差的在线修正

实现对激光雷达测量值的动态补偿

并以某2 MW风电机组激光雷达实测数据为例进行验证。结果表明:所提出的方法能够在不依赖雷达视向测量数据的前提下

有效抑制尾流区域内的系统性测量偏差

同时其计算效率满足实时修正需求

具备良好的工程应用潜力。研究结果可为机舱式激光雷达在风电机组在线感知以及运行控制方面的应用提供技术支撑。

Abstract

To overcome the measurement priciple defects of nacelle-based LiDAR under wake influence

an inflow wind field inversion method integrating analytical modeling and data-driven calibration was proposed. This method established an analytical inflow wind field model that accounted for both wake effect and rotor induction effect. It incorporated uncertainty modeling of inflow conditions and calibrated key model parameters using field measurement data. Based on the calibrated model

an online correction was conducted to dynamically compensate for LiDAR measurement values

which was validated using field measurement data from a 2 MW wind turbine. Results show that the proposed method can effectively suppress systematic measurement deviation in wake regions without relying on line-of-sight measurement data

while maintaining computational efficiency suitable for real-time correction

and it has good potential for engineering application. This study provides technical support for the application of nacelle-based LiDAR in online perception and operation control of wind turbine units.

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Keywords

references

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