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Equivalent Modeling of Wind Farm Based on Fuzzy Clustering

机译:基于模糊聚类的风电场等效建模

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Modeling of wind farm has become the focus research in the field of wind energy. In this paper, the wind generators are clustered through fuzzy clustering, every cluster contains certain number of generators. Each cluster can represent an equivalent generator; correspondingly the total power of wind farm will be the total power of all equivalent generators. This can avoid the gross error caused by taking the whole wind farm as one generator. The proposed method can largely reduce the computational complexity, which might lead to successful modeling of wind farm. The example simulation shows that the approach discussed in this paper can effectively indicate the power fluctuation of wind farm, and it is very helpful for wind power integration.
机译:风电场建模已成为风能领域的焦点研究。在本文中,风力发生器通过模糊聚类聚集,每个集群都包含一定数量的发电机。每个群集都可以表示等效生成器;相应地,风电场的总功率将是所有等效发电机的总功率。这可以避免通过将整个风电场作为一个发电机引起的粗略误差。该方法可以大大降低计算复杂性,这可能导致风电场的成功建模。示例仿真表明,本文讨论的方法可以有效地表明风电场的功率波动,并且对风力集成非常有助于。

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