[1]韩剑鹏,鲁改凤,曹文思.基于LMD法的电力系统暂态扰动检测技术研究[J].郑州大学学报(工学版),2016,37(01):29-33,59.[doi:10.3969/j.issn.1671-6833.201509013]
　Han Jianpeng,Lu Gaifeng,Cao Wensi.Research of the Transient Disturbance Detection Technology of Power System Using Local Mean Decomposition Algorithm[J].Journal of Zhengzhou University (Engineering Science),2016,37(01):29-33,59.[doi:10.3969/j.issn.1671-6833.201509013]
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基于LMD法的电力系统暂态扰动检测技术研究()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
37卷
期数:
2016年01期
页码:
29-33,59
栏目:
出版日期:
2016-02-28

文章信息/Info

Title:
Research of the Transient Disturbance Detection Technology of Power System Using Local Mean Decomposition Algorithm
作者:
韩剑鹏; 鲁改凤; 曹文思
华北水利水电大学 电力学院,河南 郑州,450045
Author(s):
Han Jianpeng;  Lu Gaifeng;  Cao Wensi
School of Electric Power, North China University of Water Conservancy and Hydropower, Zhengzhou, Henan, 450045
关键词:
Keywords:
LMD algorithm; transient disturbance signal; end effect; smart substation; power quality detection; HHT
DOI:
10.3969/j.issn.1671-6833.201509013
文献标志码:
A
摘要:
为了实现电力系统暂态扰动信号的精确识别,针对暂态扰动信号的非线性、不规则性和突变性特点,采用局部均值分解( local mean decomposition,LMD)法检测电力系统暂态扰动;并用LMD法分析了电压暂降、电压暂升、电压中断、振荡暂态、脉冲暂态、频率偏移、谐波加电压暂升信号以及某智能变电站采集的实际扰动信号等典型扰动;同时与希尔伯特-黄变换( HHT)法的分析结果进行比较.研究结果表明:用LMD法检测电力系统的暂态扰动信号是有效的,且在定位精度、运算速度方面比HHT法更具优越性.
Abstract:
The transient disturbance signals of power system have characteristics of nonlinear, irregular and mutation. Thus the local mean decomposition ( LMD) algorithm is used for detecting disturbance signals to get higher measurement accuracy. And the typical power quality transient disturbance signals including voltage swell signal, voltage sag signal, voltage interruption signal, transient oscillation signal, transient pulses sig-nal, frequency fluctuation signal, harmonics and voltage swell signals as well as actual disturbance signals oc-curred in smart substation are analyzed with the LMD algorithm. The simulation results show that LMD algo-rithm is rather effective in measuring transient disturbance signals of power system and has higher precision and faster computing speed than Hilbert-Huang transform ( HHT) algorithm.
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