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Wind farm’s clustering equivalent method based on mixed-copula function considering wind speed correlation of complex terrain

机译:考虑复杂地形风速相关性的基于混合拷贝功能的风电场的聚类等效方法

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Large-scale grid connected wind farms are the main development trend of wind power in China.In the planning and design stage of wind farms,a simplified equivalent model is often used in Wind farm equivalents.It makes the wind farm simply equivalent to a single wind turbine,neglecting the change of wind speed correlation caused by the terrain effect.This makes a large error in estimating wind power.In order to solve this problem,a method based on wind speed correlation is proposed to cluster the wind farm of complex terrain.By using the mixed Copula function with tail characteristics,a wind field correlation model with complex terrain features is built.Based on that,EM function is used to identify the Copula function parameters,and the equivalent clustering method of wind farms is built.Finally,the simulation analysis shows that the complex terrain wind farm clustering equivalent method considering wind speed correlation is verified.
机译:大型网格连接风电场是中国风力发电的主要发展趋势。在风电场的规划和设计阶段,简化的等效模型通常用于风电场等价物。这使风电场仅相当于单一的风电场风力涡轮机,忽略了地形效应引起的风速相关性的变化。在估计风电时产生了很大的误差。为了解决这个问题,提出了一种基于风速相关的方法来聚集复杂地形的风电场。根据具有尾部特征的混合卷曲功能,构建了具有复杂地形特征的风场相关模型。基础,EM功能用于识别Copula功能参数,并且内置了风电场的等效聚类方法。最后,仿真分析表明,考虑风速相关性的复杂地形风电场聚类等同方法是验证的。

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