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基于K-medoids算法的谐波责任划分方法

Harmonic Responsibility Division Method Based on K-medoids Algorithm

  • 摘要: 针对背景谐波电压波动导致系统阻抗参数辨识精度下降最终导致谐波责任划分不合理的问题,本文提出基于K-medoids算法的谐波责任划分方法。借助K-medoids聚类算法对样本点进行聚类,得到典型运行工况;使用加权最小二乘法辨识不同工况下的工况参数,并分摊其谐波责任。采用MATLAB搭建IEEE13节点的仿真平台,模拟不同背景谐波电压波动下,对比采用本文算法与传统算法辨识系统阻抗参数的精确度,从而验证该算法的合理性。

     

    Abstract: Because the background harmonic voltage fluctuation leads to the decline of system impedance parameter identification accuracy, and finally leads to the unreasonable division of harmonic responsibility, a harmonic responsibility division method based on weighted least squares based on modal clustering is proposed in this paper. K-medoids clustering algorithm is used to cluster the sample points to obtain the typical operation modes; The weighted least square method is used to identify the modal parameters under different modes and share their harmonic responsibility. The IEEE13 node simulation platform is built by MATLAB to simulate the harmonic voltage fluctuation under different background. The accuracy of identifying system impedance parameters by using this algorithm and traditional algorithm is compared to verify the rationality of this algorithm.

     

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