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An Improved Dynamic Equivalent Method for the DC Offshore Wind Farm

机译:一种改进的DC海上风电场的动态等效方法

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In order to analysis the output dynamic characteristics of dc offshore wind farm, a multimachine representation dynamic equivalent method based on an improved fuzzy C-means (IFCM) clustering algorithm is proposed. First, characteristic variables which can characterize the dynamic characteristics of the input and state performance are researched. Second, an IFCM clustering algorithm is first put forward. Third, the dc offshore wind generators (DCOWGs) are divided into many groups by analyzing the characteristic variables data with the IFCM. Finally, DCOWGs in the same group are equivalent as one DCOWG to analyze the dynamic characteristics. Simulation results from MATLAB/SIMULINK verify the theoretical analysis.
机译:为了分析DC海上风电场的输出动态特性,提出了一种基于改进的模糊C型(IFCM)聚类算法的多相表示动态等效方法。首先,研究了可以表征输入和状态性能的动态特性的特征变量。其次,首先提出IFCM聚类算法。第三,通过使用IFCM分析特征变量数据,DC海上风力发电机(DCOWGS)分为多个组。最后,同一组中的DCOWS等同于分析动态特性的一个DCOWG。 Matlab / Simulink的仿真结果验证了理论分析。

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