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TLS-ESPRIT算法在低频振荡分析中的应用
引用本文:张静,徐政,王峰,常勇.TLS-ESPRIT算法在低频振荡分析中的应用[J].电力系统自动化,2007,31(20):84-88.
作者姓名:张静  徐政  王峰  常勇
作者单位:浙江大学电气工程学院,浙江省杭州市,310027
基金项目:国家科技支撑计划重大项目
摘    要:提出了一种新的电力系统低频振荡模式辨识方法,即基于总体最小二乘法-旋转不变技术的信号参数估计(TLS-ESPRIT)算法.该算法是一种基于子空间的高分辨率信号分析方法,直接以测量数据构成的数据矩阵为基础,把信号空间分解为信号子空间和噪声子空间,能够高精度地辨识电力系统低频振荡的模式,进而可以为设计阻尼控制器提供依据.文中首先简要介绍了TLS-ESPRIT算法的基本理论,然后通过合成信号、4机2区域系统和新英格兰10机39节点系统3个算例,验证了该算法的正确性和有效性,对实现低频振荡在线/离线监测具有应用价值.

关 键 词:低频振荡  总体最小二乘法  TLS-ESPRIT算法  高分辨率  子空间
收稿时间:3/2/2007 8:08:11 PM
修稿时间:2007-03-02

TLS-ESPRIT Based Method for Low Frequency Oscillation Analysis in Power System
ZHANG Jing,XU Zheng,WANG Feng,CHANG Yong.TLS-ESPRIT Based Method for Low Frequency Oscillation Analysis in Power System[J].Automation of Electric Power Systems,2007,31(20):84-88.
Authors:ZHANG Jing  XU Zheng  WANG Feng  CHANG Yong
Affiliation:Zhejiang Uinversity,Hangzhou 310027,China
Abstract:A novel TLS-ESPRIT(total least squares-estimation of signal parameters via rotational invariance techniques) based method for the analysis of low frequency oscillations in power systems is presented.The method is one of the subspace-based high resolution techniques,which decomposes the signal into signal subspace and noise subspace from the data matrix that is directly made up of measured data.The method is capable of extracting crucial dynamic characteristics from a system of any size with high precision,and the information can be further used for designing damping controllers.The theoretical aspects of the TLS-ESPRIT analysis method are firstly revisited briefly in the paper.Then,to illustrate the proposed technique,three test cases are investigated,including analysis of a synthetic signal,a four-machine two-area power system and the New England 10-generator 39-bus system.Simulation results confirm the validity of the method and show that it has great potential as an alternative powerful tool for online and offline analysis of the low frequency oscillations in power systems.
Keywords:low frequency oscillation  total least squares(TLS)  TLS-ESPRIT  high resolution  subspace
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