基于HHT的电力系统低频振荡监测器的研究  

Study on HHT Based Low Frequency Oscillation Monitor for Power System

作　　者：杨培宏[1] 岳立海 亢岚[2] 王国平[1] 

机构地区：[1]内蒙古科技大学信息工程学院,内蒙古包头014010 [2]内蒙古科技大学矿业与煤炭学院,内蒙古包头014010

出　　处：《电测与仪表》2014年第21期110-114,共5页Electrical Measurement & Instrumentation

基　　金：内蒙古自治区高等学校科学研究项目(NJZY14165)

摘　　要：针对电力系统区域联络线上发生低频功率振荡问题,提出了一种能够快速精确地分解出振荡模态参数的低频振荡监测器。低频振荡监测器的核心是一种改进的希尔伯特-黄变换(Hilbert-Huang transform,HHT)算法,该算法通过给在线录波数据叠加整周期余弦信号,使预处理信号的两端为极值点,解决了EMD分解过程中的"端点效应"问题,通过MATLAB仿真验证了该方法的有效性。Aimed at the problem of low frequency oscillation on regional link of power system, a low frequency oscilla-tion monitor, which will be able to decompose the vibration modal parameters quickly and accurately, has been pres-ented in this paper. The core of low frequency oscillation monitor is an improved Hilbert - Huang transform （ Hilbert -Huang transform, HHT） algorithm. Through adding the full period cosine signal to the online record data, this algo-rithm will solve the End Effect problem during EMD decomposition process by making both ends of preprocessing sig-nal as the extreme points. Simulation results by MATLAB verify the effectiveness of the proposed method.

关 键 词：希尔伯特一黄变换 经验模态分解 电力系统低频振荡 监测器 

分 类 号：TM744[电气工程—电力系统及自动化]