一种综合分析算法在低频振荡参数估计中的应用

YANG Dechang; Christian REHTANZ; LI Yong; Kay G?RNER

您当前的位置：

首页 >

文章列表页 >

一种综合分析算法在低频振荡参数估计中的应用

更新时间：2025-08-13

- 一种综合分析算法在低频振荡参数估计中的应用
- Automation of Electric Power Systems Vol. 35, Issue 10, Pages: 24-29(2011)
- 作者机构：
  
  多特蒙德工业大学电力系统与电力经济研究所，多特蒙德市,德国,44227
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
移动端阅览
YANG Dechang, Christian REHTANZ, LI Yong, et al. [J]. Automation of electric power systems, 2011, 35(10): 24-29.
DOI：

YANG Dechang, Christian REHTANZ, LI Yong, et al. [J]. Automation of electric power systems, 2011, 35(10): 24-29. DOI：

摘要

为消除实测信号中噪声的影响，更好地揭示电力系统低频振荡的时变和非线性特征，提出了基于广义数学形态学非线性滤波和Hilbert-Huang变换（HHT）的低频振荡综合分析算法。首先分析了信号中各种噪声对HHT精度的影响。在形态学滤波原理的基础上，建立了广义形态学滤波器，并利用它对来自广域测量系统（WAMS）中低频振荡信号进行滤波去噪，然后将滤波后的信号经过HHT分析处理后，再通过相应的瞬时参数计算方法，求解出低频振荡信号的瞬时参数。仿真结果证明该算法不仅能有效地消除信号中的混合噪声，而且能够计算出低频振荡主导模态的瞬时参数，更好地分析低频振荡的瞬时特性。通过对来自WAMS的实际信号进行分析，证明了该方法的有效性。

Abstract

In order to investigate the time-varying non-linear characteristics of low frequency oscillations（LFOs）， a hybrid technique based on generalized mathematical morphological（MM） filter and Hilbert-Huang transform（HHT） is presented. First of all， the influences of different kinds of noises on HHT are analyzed. And then the generalized MM filter is built based on its principle and ability to filter the mixed noise. The data from wide area measurement system（WAMS） are utilized as the input of generalized MM filter， which can eliminate mixed noise rapidly and effectively. The filtered signals are analyzed by HHT， and then the instantaneous parameters of the dominant oscillation are calculated. Simulation results of the testing signal and practical signal from WAMS validate the presented hybrid estimation method.

关键词

Keywords

references

Views

2081

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Active Small-signal Stability Assessment Method for Microgrid Based on Hilbert-Huang Transform

Power System Low Frequency Oscillation Mode Identification Based on Exact Mode Order-Exponentially Damped Sinusoids Neural Network

Parameter Setting Method for Multi-band Power System Stabilizer Considering Multiple Oscillation Modes

考虑发电机控制装置的低频振荡定位及识别方法

Related Author

DING Jiong

ZHU Jiebei

CHEN Binbin

LI Yunfeng

WANG Wei

YU Lujie

JIA Hongjie

LAI Jidong

Related Institution

NARI Group Corporation(State Grid Electric Power Research Institute)

School of Electrical and Information Engineering, Changsha University of Science &Technology

Guangxi Power Grid Company Limited

Key Laboratory of Smart Grid of Ministry of Education(Tianjin University)

School of Electrical and Automation Engineering, Hefei University of Technology, Hefei 230009, China

⁰