摘要
风电场内风廓线的观测对于风机输出功率的预测非常重要。随着风机尺寸的不断增加,常用的测风塔由于其观测高度有限,无法得到风电场内完整的风廓线信息。本研究通过对比不同严格程度的数据质量控制和处理方法,提出了一种基于多普勒激光测风雷达速度方位显示(Velocity Azimuth Display,VAD)扫描方式,获取边界层内高质量风廓线的质量控制与风速反演结果优化处理流程,并得到了从近地面到风机叶片影响高度的完整垂直风廓线。与传统的仅用载噪比(Carrier-to-Noise Ratio,CNR)对原始径向风速数据进行质量控制的方法相比,利用本研究提出的数据质量控制和处理流程可显著提高风速和风向反演的精度,反演得到的风速与测风塔风速的决定系数从0.826(10 m)和0.926(70 m)提高到0.932和0.958,偏差从0.500 m∙s^(-1)(10 m)和0.063 m∙s^(-1)(70 m)减少到0.464 m∙s^(-1)和0.034 m∙s^(-1);优化方法对风向的反演也有很大改进。使用本研究提出的风场反演优化方法,可以得到激光雷达多普勒波束摆动(Doppler Beam Swinging,DBS)扫描方法探测盲区至风机叶片影响高度的完整边界层风廓线,可用于风资源评估、风功率预测以及风电场参数化方案发展等研究。
Information on wind profiles within a wind farm is crucial for predicting the output power of wind turbines.As the size of wind turbines continues to increase,commonly used wind towers are unable to obtain complete wind profile information within the wind farm due to their limited observation height.This study proposes an optimized processing procedure for quality control and wind speed inversion of high-quality wind profiles within the boundary layer,based on the Doppler lidar Velocity Azimuth Display(VAD)scanning method,by comparing data quality control and processing methods of varying strictness.The complete vertical wind profile from the near ground to the height affected by the wind turbines is obtained using this method.Compared with the traditional method of only using the Carrier-to-Noise Ratio to control the quality of raw radial wind speed data,the data quality control and processing method proposed in this study can significantly improve the accuracy of wind speed inversion.The correlation coefficients between the inverted wind speed and that observed increase from 0.826(10 m)and 0.926(70 m)to 0.932 and 0.958,respectively,while the biases decrease from 0.500 m∙s^(-1)(10 m)and 0.063 m∙s^(-1)(70 m)to 0.464 m∙s^(-1)and 0.034 m∙s^(-1).Furthermore,by using the optimized inversion method proposed in this study,it is possible to obtain a complete boundary layer wind profile from the blind zone detected by the Doppler Beam Swinging(DBS)scanning method to the height affected by wind turbine blades.This can be used for research on wind resource assessment,wind power prediction,and the development of parameterization schemes for wind farms.
作者
马腾
余晔
董龙翔
赵果
张彤
王雪薇
李江林
赵素平
MA Teng;YU Ye;DONG Longxiang;ZHAO Guo;ZHANG Tong;WANG Xuewei;LI Jianglin;ZHAO Suping(Key Laboratory of Cryopsheric Science and Frozen Soil Engineering,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Science,Lanzhou 730000,Gansu,China;University of Chinese Academy of Sciences,Beijing 100049,China;Pingliang Land Surface Process and Severe Weather Research Station,Pingliang 744015,Gansu,China;Gansu Land Surface Process and Severe Weather Observation and Research Station,Pingliang 744015,Gansu,China;Key Laboratory for Arid Climate Change and Disaster Reduction of Gansu Province,Lanzhou Institute of Arid Meteorology,Northwestern Regional Center of Numerical Weather Prediction,Key Open Laboratory for Arid Climate Change and Disaster Reduction of the China Meteorological Administration,Lanzhou 730020,Gansu,China)
出处
《高原气象》
北大核心
2025年第4期1071-1082,共12页
Plateau Meteorology
基金
国家自然科学基金项目(42375086,42305092)
国家重点研发计划项目(2018YFB1502801)
中国科学院大型仪器功能开发项目(2024g109)。
