|本期目录/Table of Contents|

[1]崔慧明,王 程,陈振勇,等.基于MEEMD的复合电能质量扰动检测方法研究[J].工业仪表与自动化装置,2018,(06):12-16.[doi:1000-0682（2018）06-0000-00]
　CUI Huiming,WANG Cheng,CHEN Zhenyong,et al.Research on compound power quality disturbance detection method based on MEEMD[J].Industrial Instrumentation & Automation,2018,(06):12-16.[doi:1000-0682（2018）06-0000-00]
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基于MEEMD的复合电能质量扰动检测方法研究

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2018年06期
页码:
12-16
栏目:
出版日期:
2018-12-15

文章信息/Info

Title:
Research on compound power quality disturbance detection method based on MEEMD
作者:
崔慧明1; 王 程1; 陈振勇1; 雷艾虎1; 2
1. 国网甘肃省电力公司白银供电公司，甘肃 白银 730900；
2. 兰州理工大学 电气工程与信息工程学院，甘肃 兰州730050
Author(s):
CUI Huiming 1;  WANG Cheng 1;  CHEN Zhenyong 1;  LEI Aihu 1; 2
1. State Grid Gansu Electric Power Company Baiyin Electric power supply company, Gansu Baiyin 730900, China;2. College of Electrical and Information Engineering of Lanzhou University of Technology, Lanzhou, Gansu, 730050, China
关键词:
电能质量; EEMD; Hilbert变换; 模态混叠; MEEMD
Keywords:
power quality;  EEMD;  Hilbert transformation;  mode mixing;  MEEMD
分类号:
TM764
DOI:
1000-0682（2018）06-0000-00
文献标志码:
A
摘要:
该文提出一种基于改进集合经验模态分解(MEEMD)的复合电能质量扰动检测方法，该方法不仅能抑制分解过程中的模态混叠，而且可以减少计算量，降低重构误差。采用 MEEMD方法分解复合电能质量扰动信号，得到固有模态函数(IMF)分量，然后进行希尔伯特(Hilbert)变换，获得频率和幅值等信息，进而确定电能质量扰动信号的瞬时特征信息。MATLAB仿真结果表明，该文所提出的方法对复合电能质量扰动具有良好的分解效果，同时能够抑制模态混叠。
Abstract:
In this paper, a method for compound power quality disturbance detection based on modified EEMD(MEEMD) is proposed, this method can not only suppress the mode mixing in the decomposition process, but also reduce the calculations and reconstruction errors.The MEEMD is used to decompose the compound power quality disturbance signal to obtain the intrinsic mode function(IMF) components.Then the Hilbert transformation is performed to obtain the frequency and amplitude information and so on,thereby determining the instantaneous characteristic information of the power quality disturbance signal.The MATLAB simulation show that the method proposed in this paper has a good decomposition effect on the compound power quality disturbance and can suppress mode mixing.

参考文献/References:

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[2] 于德介,程军圣,杨宇.机械故障诊断的Hilbert-Huang变换方法[M].北京:科学出版社,2007.
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[5] 雷亚国.基于改进Hilbert-Huang变换的机械故障诊断[J].机械工程学报,2011,47(5):71-77.
[6] Deering R,Kaiser J F.The use of masking signal to improve emprical mode decomposition[C].Philadelphia, USA:IEEE International Conference on Acoustics,Speech, and Signal Processing, 2005:485-488.
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备注/Memo

备注/Memo:
收稿日期：2018-05-14
基金项目：国网甘肃省电力公司科技项目(52270316000A)；国家自然科学基金项目(51467009)；兰州市科技计划项目(2016-3-67)
作者简介：崔慧明(1973)，男，甘肃白银人，硕士，高级工程师，从事电力系统稳定与控制，分布式发电及微电网的运行控制。
更新日期/Last Update: 2018-12-15