基于互信息数据优选的系统侧谐波阻抗估计
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TM711

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国家自然科学基金资助项目(52277113)


Utility harmonic impedance estimation based on mutual information and data optimization
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Study on the theory and method of the evaluation for the harmonic emission level in the new generation power system

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    摘要:

    准确求解谐波阻抗是谐波治理和合理划分谐波责任的前提。现有谐波阻抗估计方法须满足背景谐波波动小且用户侧谐波阻抗远大于系统侧谐波阻抗的条件,但大量电力电子设备在电力系统中的使用导致这些条件可能难以被满足,因此文中提出一种基于互信息数据优选的系统侧谐波阻抗估计方法。首先通过独立分量分析(independent component analysis,ICA)求解系统侧谐波电流,然后筛选公共连接点(point of common coupling,PCC)处谐波电流与系统侧谐波电流互信息小的数据段,最后利用筛选出的数据段对应的PCC处谐波电流与系统侧谐波电压协方差为0的特性对谐波阻抗进行估计。仿真和实际案例分析表明:与现有方法相比较,在用户侧谐波阻抗非远大于系统侧谐波阻抗时,文中所提方法的系统侧谐波阻抗估计结果更准确,适用范围更广泛。

    Abstract:

    Accurate calculation of harmonic impedance is the premise of harmonic control and reasonable division of harmonic responsibility. The existing harmonic impedance estimation methods should meet the conditions that the background harmonic fluctuations are small and the customer harmonic impedance is much larger than the utility harmonic impedance. However,the use of a large number of power electronics in power system makes those conditions are not be satisfied. Therefore,a utility harmonic impedance estimation method based on mutual information and data optimization is proposed. Firstly,the utility harmonic currents are solved by independent component analysis (ICA),and the data segments with small mutual information between the harmonic currents at the point of common coupling (PCC) and the utility harmonic currents are selected. Finally,the harmonic impedance of the screened data segment is estimated using the characteristic of zero covariance between the harmonic current at the PCC and the harmonic voltage on the utility. The effectiveness of the proposed method is tested by simulation and actual case analysis. Compared with existing methods,the proposed method is more accurate and widely applicable when the customer harmonic impedance is not much larger than the utility harmonic impedance.

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徐方维,王朝浩,周全,王川,刘凯,张颢严.基于互信息数据优选的系统侧谐波阻抗估计[J].电力工程技术,2023,42(2):67-74

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  • 收稿日期:2022-04-12
  • 最后修改日期:2022-07-04
  • 录用日期:2022-07-04
  • 在线发布日期: 2023-03-22
  • 出版日期: 2023-03-28
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