Implementation of the frequency-partitioning fitting method for linear equivalent identification from frequency response data

T. Noda
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引用次数: 2

Abstract

It is often the case that the frequency response data of a network or a system is available and one wants to identify a linear equivalent from the frequency response data for time-domain simulations and other purposes. To this end, a variety of methods have been proposed, and the vector fitting (VF) method and the frequency-partitioning fitting (FpF) method are often used for electromagnetic transient (EMT) simulations of power systems. The main applications are frequency-dependent transmission-line modeling and frequency-dependent network modeling. This paper presents illustrative MATLAB code of the FpF method. Although the mathematical descriptions of the algorithms used in the FpF method have been fully presented in the literature, the illustrative code is still useful and necessary to understand the details of their implementation. It is verified that the code shown in this paper is fully functional and it can be used as a functioning software package.
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基于频响数据的线性等效辨识的频率划分拟合方法的实现
通常情况下,网络或系统的频率响应数据是可用的,并且人们希望从频率响应数据中识别线性等效,用于时域模拟和其他目的。为此,人们提出了多种方法,其中矢量拟合(VF)方法和频分拟合(FpF)方法是电力系统电磁暂态(EMT)仿真常用的方法。主要应用于频率相关的传输在线建模和频率相关的网络建模。本文给出了FpF方法的MATLAB示例代码。尽管FpF方法中使用的算法的数学描述已经在文献中完整地呈现,但说明性代码对于理解其实现的细节仍然是有用和必要的。经验证,本文给出的代码功能齐全,可以作为一个功能软件包使用。
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