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Complex blind source separation based harmonic contribution assessment

机译:基于复杂盲源分离的谐波贡献评估

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摘要

Harmonic contribution assessment is the precondition of harmonic responsibility-sharing and mitigating and its difficulty lies in real-time assessment of harmonic impedance. In order to solve this problem, this paper proposed a complex blind source separation (CBSS) based harmonic contribution assessment method. Use linear filter to abstract fast changing components from measuring data at the point of common coupling (PCC) and establish a CBSS based harmonic contribution assessment model; use complex maximization of non-Gaussianity (CMN) to assess demixing matrix, impedance matrix, and harmonic sources and the process of harmonic contribution assessment is studied in detail on this basis. The proposed method is validated by simulation, comparing with current methods, and the results prove that the proposed method can separate harmonic contribution directly with measuring data and it is suitable for resonance and non-resonance cases.
机译:谐波贡献评估是谐波责任分担和缓解的前提,其困难在于谐波阻抗的实时评估。为了解决这个问题,本文提出了一种基于复杂盲源分离(CBSS)的谐波贡献评估方法。使用线性滤波器从公共耦合点(PCC)的测量数据中提取快速变化的分量,并建立基于CBSS的谐波贡献评估模型;使用非高斯(CMN)的复数最大化来评估解混矩阵,阻抗矩阵和谐波源,并在此基础上详细研究谐波贡献评估的过程。通过仿真验证了该方法的有效性,并与现有方法进行了比较,结果表明该方法可以将谐波贡献与测量数据直接分离,适用于共振和非共振情况。

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