用变分模态分解检测电压变化事件

Pankaj D. Achlerkar, S. Samantaray, M. Manikandan
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引用次数: 1

摘要

本文提出了一种基于变分模态分解(VMD)的信号处理工具检测电压暂降、膨胀和中断事件的方法。所提出的方法能够跟踪这些事件引起的幅度、相位、频率和未传递能量的变化。对电压信号进行半波整流,再进行VMD分解,得到代表瞬时幅值包络线的直流部分,从而得到开始/结束时间和凹陷/膨胀深度。从中心频率更接近基频的VMD模式解析信号得到的瞬时相位中观察到相位跳变和频率偏差。在MATLAB/Simulink中对算法进行了各种合成和仿真信号的测试。比较了基于递归离散傅里叶变换和希尔伯特变换方法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of voltage variation events using variational mode decomposition
This paper presents a method of detecting voltage sag, swell and interruption events based on a signal processing tool viz. variational mode decomposition (VMD). The proposed method is able to keep track of variations in amplitude, phase, frequency and undelivered energy due to such events. Voltage signal is half-wave rectified and then decomposed by VMD to get DC part representing instantaneous amplitude envelope, thereby obtaining start/end times and depth of sag/swell. The phase jump and frequency deviations are observed from instantaneous phase, obtained from analytic signal of VMD mode having center frequency nearer to fundamental. Algorithm is tested for various cases of synthetic and simulated signals in MATLAB/Simulink. Comparative performance with recursive discrete Fourier transform and Hilbert transform based method is demonstrated.
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