根据激光雷达可对风电机组前方风速提前测量的优势,提出一种基于激光雷达的平面风速时延处理算法,实现叶轮平面超短期风速在线预测。利用风电场风速实测数据验证该风速预测方法的有效性,结果表明所提出的时延处理算法相比传统的泰勒冻结方法在风速预测精度上提高了17%,同时基于所提平面风速预测模型计算得到的叶轮平面等效风速与机组运行数据反推得到的等效风速表现出较高的相关性,相关系数在0.9以上,证实了所提平面风速预测方法的准确性。
Abstract
Leveraging advanced LIDAR-based wind speed measurements ahead of the wind turbine, this paper proposes a plane wind speed time-delay processing algorithm to achieve ultra-short-term online wind speed prediction for the rotor plane. The proposed wind speed prediction method is validated using actual wind speed data from a wind farm, demonstrating a 17% improvement in prediction accuracy compared to the traditional Taylor frozen method. Furthermore, the equivalent wind speed in the rotor plane, calculated using the modified wind speed prediction model exhibits a high correlation with the turbine’s operational data, with a correlation coefficient exceeding 0.9, confirming the accuracy of the proposed plane wind speed prediction method.
关键词
风电机组 /
激光雷达 /
风速演化 /
平面风速 /
等效风速
Key words
wind turbines /
lidar /
wind speed evolution /
plane wind speed /
equivalent wind speed
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基金
国家重点研发计划（2023YFB4203000）
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