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中国科学院大学学报 ›› 2024, Vol. 41 ›› Issue (2): 257-267.DOI: 10.7523/j.ucas.2022.036

• 电子信息与计算机科学 • 上一篇    下一篇

基于风机式激光测风雷达的风机功率特性曲线测试方法

梁志1,2, 师宇1, 张哲1,2, 胡非1,2   

  1. 1 中国科学院大气物理研究所, 北京 100029;
    2 中国科学院大学, 北京 100049
  • 收稿日期:2022-02-23 修回日期:2022-04-08 发布日期:2022-04-26
  • 通讯作者: 胡非,E-mail:hufei@mail.iap.ac.cn
  • 基金资助:
    国家自然科学基金青年项目(42105093)、国家自然科学基金面上项目(42175101)和国家重点研发计划课题(2020YFB1506701)资助

Power performance measurement based on nacelle mounted Lidar

LIANG Zhi1,2, SHI Yu1, ZHANG Zhe1,2, HU Fei1,2   

  1. 1. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 1000;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2022-02-23 Revised:2022-04-08 Published:2022-04-26

摘要: 通过风机式激光测风雷达(NML)测试风机功率特性曲线(PPM),对比分析风机式NML和测风塔的结果差异,评估两种方法在发电量计算中的不确定性。结果表明,风机式NML与测风塔的风速测量一致,相关系数可达0.994,拟合的斜率和截距分别为0.979和0.084;风机式NML的测试数据在功率特性曲线的散点分布图中更集中;发电量评估结果表明,NML比测风塔高估发电量1.73%。不同风向扇区的研究结果表明,测风塔在不同风向下处于风机的不同方位,NML随风机机舱的偏航始终测量风机正前方风速,与风向保持一致,因此散点更为集中。风机式NML对PPM测试的不确定度更低,对风机叶轮上平均风速更具有代表性,具有一定的研究意义与实际应用价值。

关键词: 风机功率特性曲线, 激光测风雷达, 测风塔, 年发电量

Abstract: The power performance measurement (PPM) of wind turbine is an objective method to evaluate the performance of wind turbine, which is the basis for the optimization of the wind turbine, the calculation of annual energy production and other related topics. Traditional testing method usually installs the ground-based equipment, such as the meteorological mast or ground-based lidar, which are more constrained by the on-site conditions. The nacelle mounted Lidar (NML), which can be installed on the top roof on wind turbine nacelle, could overcome the constraints of the on-site conditions. In recent years, NML starts to be used in PPMs, especially for offshore wind turbines. In this paper, the PPM had been conducted by using NML, and the differences were analyzed. The results showed that the wind speed accuracy of NML was consistent with the meteorological mast, the correlation coefficient of the two devices was 0.994, and the slope and offset by linear regression were 0.979 and 0.084, respectively; the scattering point of PPM by NML was more concentrated, and NML was always measuring the wind speed exactly in front of the wind turbine with the yawing of the wind turbine nacelle, which was better representative of the wind speed. The AEP assessment results showed that the NML was 1.73% overestimated relative to the met mast, and the overall evaluation error range was smaller due to the lower dispersion of NML. The NML had a better representation of wind speed than met mast, with less uncertainty, and had value for the application of PPM of wind turbine.

Key words: power performance measurement (PPM), nacelle-mounted Lidar (NML), meteorological mast, annual energy production (AEP)

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