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Parameters Selection Criteria of Prony Method for Accurate Harmonics and Inter-Harmonics Components Identification

机译:Prony方法的参数选择准则,用于精确谐波和谐波间分量的识别

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A pseudo-perfect power supply is today a serious problem for researchers and power engineers and producers. The use of modern electronic devices for developing power systems leads unfortunately to presence of nonlinear loads and causes the apparition of harmonics and inter-harmonics superimposed to the fundamental sine wave. To reduce and mitigate harmonic propagation along the power network, filters are used. To design such filters an accurate method is needed to measure the harmonic levels in the network. Signal Processing has contributed amazingly in the identification of harmonics and inter-harmonics during last decades. Earlier, methods based on Fourier Transform (DFT, FFT, STFT, etc.) were used for spectrum estimation, but they suffer from problems of resolution and some invalid assumptions. On the other side, parametric methods based on mathematical models are widely used because of their accuracy and the ability to extract all harmonics and inter-harmonics without knowledge of the fundamental. This paper devotes to a detailed study of Prony method for harmonics and Inter-harmonics identification in power systems. The influence of selection of each parameter is investigated as well as the interaction between them. Experimental simulation using MATLAB confirms the criteria of parameters selection for accurate identification and the limits of Prony algorithm performance.
机译:对于研究人员,电力工程师和生产商而言,如今,伪完美的电源已成为一个严重的问题。不幸的是,使用现代电子设备开发电力系统会导致非线性负载的出现,并导致出现叠加在基本正弦波上的谐波和间谐波。为了减少和减轻沿电网的谐波传播,使用了滤波器。为了设计这样的滤波器,需要一种精确的方法来测量网络中的谐波电平。在过去的几十年中,信号处理在谐波和间谐波的识别方面做出了惊人的贡献。以前,基于傅立叶变换的方法(DFT,FFT,STFT等)用于频谱估计,但是它们存在分辨率问题和一些无效的假设。另一方面,基于数学模型的参数方法由于其准确性以及无需了解基础知识就能提取所有谐波和间谐波的能力而被广泛使用。本文致力于对电力系统谐波和间谐波识别的Prony方法进行详细研究。研究了每个参数选择的影响以及它们之间的相互作用。使用MATLAB进行的实验仿真确定了用于准确识别的参数选择标准以及Prony算法性能的局限性。

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