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基于3D扫描雷达实测数据的海上风电场尾流特性研究

Research on Wake Characteristics of Offshore Wind Farms Based on 3D Scanning Lidar Data
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摘要 为有效优化实际业务中海上风电场的机组排布方案设计,降低尾流电量损失,在江苏某海上实际运行风电场采用3D扫描雷达进行实地尾流观测实验,分析独立尾流、半尾流和全尾流三种工况下机组的尾流长度、尾流宽度及尾流深度等尾流特性。研究表明,独立尾流工况下机组尾流下游方向11D~12D(D为叶轮直径)距离处风速变化趋平,尾流影响减弱,机组尾流影响长度在11D左右;近尾流区内,全尾流工况机组的风速衰减较独立尾流和半尾流工况机组明显增大,远尾流区三种工况变化趋势一致,尾流宽度均在3D左右,呈“双高斯”或“凹型”分布特征。二者的差异性主要与相邻机组间距的不同相关。三种尾流工况下,近尾流区的尾流深度明显较远尾流区大,尾流速度亏损明显。 In order to obtain optimal layout of offshore wind farms to reduce wake loss,the wake observation experiment was carried out in an offshore wind farm in Jiangsu,and the 3D-Lidar was used to measure the wake-flow data.The wake characteristics such as wake length,wake width and wake depth under three wake conditions of independent wake,half wake and full wake were studied.The results show that,the wake length is about 11D~12D(D is the rotor diameter)and the influence of wake is weakened under the independent wake condition;in the near wake region,the wind speed attenuation under the full wake condition is significantly higher than that under independent and half wake conditions;but in the far wake region,the changing trend of the three wake conditions is the same,and the wake width is about 3D,showing“double Gaussian”or“concave”distribution,and the difference is related to the distance between adjacent wind turbines;under the three kinds of wake conditions,the wake depth in the near wake region where the wake velocity loss is obvious is larger than that in the far wake region.
作者 刘树洁 崔冬林 沙伟 王尼娜 陈秋阳 LIU Shujie;CUI Donglin;SHA Wei;WANG Nina;CHEN Qiuyang(Key Laboratory of Far-shore Wind Power Technology of Zhejiang Province,Hangzhou 311122,Zhejiang Province,China;POWERCHINA Huadong Engineering Co.,Ltd.,Hangzhou 311122,Zhejiang Province,China;Xinjiang Goldwind Science&Technology Co.,Ltd.,Urumqi 830001,Xinjiang Uygur Autonomous Region,China)
出处 《全球能源互联网》 CSCD 2023年第1期80-87,共8页 Journal of Global Energy Interconnection
基金 国家自然科学基金项目(U19B2044,U1865102,61836011)。
关键词 海上风电场 扫描雷达 尾流特性 尾流工况 offshore wind farm scanning lidar wake characteristics wake conditions
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