[1]廖晓辉,陈川川.改进的VMD-HT在电能质量扰动检测中的应用[J].郑州大学学报(工学版),2021,42(01):21-27.[doi:10.13705/j.issn.1671-6833.2021.01.004]
 Liao Xiaohui,Chen Chuanchuan,Application of ba<x>sed Improved VMD-HT in Power Quality Disturbance Detection[J].Journal of Zhengzhou University (Engineering Science),2021,42(01):21-27.[doi:10.13705/j.issn.1671-6833.2021.01.004]
点击复制

改进的VMD-HT在电能质量扰动检测中的应用()
分享到:

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
42卷
期数:
2021年01期
页码:
21-27
栏目:
出版日期:
2021-03-14

文章信息/Info

Title:
Application of ba<x>sed Improved VMD-HT in Power Quality Disturbance Detection
作者:
102 102); background-color: rgb(255 255 255); font-family: Arial Verdana sans-serif; font-size: 12pt;">廖晓辉 陈川川
郑州大学电气工程学院;

Author(s):
Liao Xiaohui; Chen Chuanchuan;
School of Electrical Engineering, Zhengzhou University;

关键词:
Keywords:
DOI:
10.13705/j.issn.1671-6833.2021.01.004
文献标志码:
A
摘要:
针对电能质量扰动检测精度低和抗干扰性弱的问题,本文提出了一种基于能量收敛因子与PSO优化的VMD-HT方法。首先通过改进的VMD方法自适应的选择k和α的最优取值,然后通过Hilbert变换求取VMD分解后IMF分量的瞬时幅值-频率仿真图,定位扰动发生的起止时刻,实现电能质量扰动的检测。通过加入白噪声模拟实际电能质量扰动和随机改变电能质量扰动数学模型的起止时间,进行大量检测仿真实验,其结果表明改进的VMD-HT方法相较于传统的HHT的电能质量扰动检测方法具有更好的检测效果,避免了EMD容易发生模态混叠的现象导致检测精度低、抗干扰性弱和容错性差的问题。
Abstract:
Aiming at the problems of low power quality disturbance detection accuracy and weak anti-interference, this paper proposes a VMD-HT method ba<x>sed on energy convergence factor and PSO optimization. First, the improved VMD method is used to adaptively select the optimal values of k and α, and then the Hilbert transform is used to obtain the instantaneous amplitude-frequency simulation diagram of the IMF component after VMD decomposition, and locate the start and end moments of the disturbance to realize the power quality disturbance Detection. By adding white noise to simulate the actual power quality disturbance and randomly changing the start and end time of the power quality disturbance mathematical model, conducted a large number of detection simulation experiments, and the results show that the improved VMD-HT method has better detection effect than the traditional HHT power quality disturbance detection method, and avoids the problems of low detection accuracy, weak anti-interference and poor fault tolerance due to the phenomenon that EMD is prone to modal aliasing.
更新日期/Last Update: 2021-03-15