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中文摘要：
在对风电场进行风资源评估时，常需要对缺失测风数据进行插补，然后据此订正成代表年风速。文章以广东地区某风电场风资源分析为例，采用以下3种不同的线性相关插补方法：方法一，相关关系构建基于主测风塔和参照测风塔同期所有的测风数据（除去缺测数据）；方法二，相关关系构建基于不同季节的测风数据；方法三，相关关系构建基于不同风向扇区（一般16个）的测风数据。误差分析结果表明，方法三误差最小，方法二次之，方法一误差最大。
英文摘要：
When a wind farm＇s resource is assessed, usually the lost wind data need to be interpolated, then the representative year wind speed series are revised. In this paper, the analysis of a wind farm＇s resource in Guangdong province is taken as an example ,the following three different linear correlation interpolation methods are used ：in the first method, the correlation is built based on all of the wind data （except lost data）getting from host and reference masts at same time;in the second method, the correlations are built based on wind data in different seasons;in the third one based on the data in different wind direction sectors（generally 16）. The result of error analysis indicates that the third method＇s error is smallest, the second one is next, and the first one is biggest.
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