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希尔伯特-黄变换在电力系统故障检测中的应用研究
引用本文:刘毅华,赵光宙.希尔伯特-黄变换在电力系统故障检测中的应用研究[J].电力系统保护与控制,2006,34(14):4-6,19.
作者姓名:刘毅华  赵光宙
作者单位:浙江大学宁波理工学院 浙江宁波315100(刘毅华),浙江大学电气工程学院 浙江杭州310027(赵光宙)
摘    要:电力系统中的故障暂态信号多为非线性非平稳信号,希尔伯特-黄变换(HHT)被认为是专门针对非线性非平稳信号的分析方法。将HHT引入到电力系统故障检测中,利用经验模态分解(EMD)获得故障电流信号的本征模态函数(IMF),通过选取IMF并对其进行H ilbert变换,提取出IMF分量的瞬时频率和瞬时幅度。利用合成的IMF分量的H ilbert谱分布,对故障暂态进行了时间-频率-振幅的联合分析。仿真研究表明:基于HHT的故障检测方法能充分提取故障信息,故障定位准确,提高了故障检测的可靠性。

关 键 词:希尔伯特-黄变换  经验模态分解  瞬时频率  电力系统  故障检测
文章编号:1003-4897(2006)14-0004-03
收稿时间:2006-01-15
修稿时间:2006-01-15

Application of Elilbert-Huang Transform in power system fault detection
LIU Yi-hua, ZHAO Guang-zhou.Application of Elilbert-Huang Transform in power system fault detection[J].Power System Protection and Control,2006,34(14):4-6,19.
Authors:LIU Yi-hua  ZHAO Guang-zhou
Affiliation:1. Ningbo Institute of Technology, Zhejiang University, Ningbo 315100, China; 2. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Abstract:Hilbert-Huang Transform(HHT) has been proved to be a good method for analyzing nonlinear and nonstationary signals.This paper introduces HHT into the fault measurement of power system.The fault signal is firstly decomposed into intrinsic mode function(IMF) by the EMD method.Then instantaneous frequency and instantaneous amplitude is obtained by Hilbert transform to compose Hilbert spectrum.Thus the transient caused by fault can be analyzed and further detected accurately through the instantaneous frequency and the time-frequency-amplitude spectra analysis.Simulations show that the HHT-based method is accurate at fault location and fault message abstraction,which enhance the reliability of fault detection.
Keywords:Hilbert-Huang transforms(HHT)  empirical mode decomposition(EMD)  instantaneous frequency(IF)  power system  fault detection  
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