电力系统及其自动化学报2019，Vol.31Issue(2)：74-79,6.DOI:10.19635/j.cnki.csu-epsa.000011
基于ICA和WVD的电力系统低频振荡参数辨识
Identification of Low-frequency Oscillation Parameters of Power System Based on Independent Component Analysis and Wigner-Ville Distribution
王雨虹 1郭天驰 2付华 1徐耀松1
作者信息
- 1. 辽宁工程技术大学电气与控制工程学院,葫芦岛 125105
- 2. 辽宁工程技术大学安全科学与工程学院,阜新 123000
- 折叠
摘要
Abstract
To improve the identification accuracy of low-frequency oscillation parameters of power system,an on-line identification method based on independent component analysis(ICA)and Wigner-Ville distribution(WVD)is pro?posed in the paper. The monitor data from the wide area measurement system(WAMS)are taken as the original input signal. After de-noising treatment by ICA,WVD is applied to study the frequency,amplitude and energy distribution characteristics of the signal. The simulation analysis and the study on an application example show that compared with the traditional Prony identification algorithm,the proposed method has a stronger de-noising capability and better iden?tification result,thus it can better reflect the local characteristics of the non-stationary signal of power system,and im?prove the online identification accuracy of low-frequency oscillation parameters.关键词
低频振荡/独立分量分析/Wigner-Ville分布/广域测量系统Key words
low-frequency oscillation/independent component analysis(ICA)/Wigner-Ville distribution(WVD)/wide area measurement system(WAMS)分类
信息技术与安全科学引用本文复制引用
王雨虹,郭天驰,付华,徐耀松..基于ICA和WVD的电力系统低频振荡参数辨识[J].电力系统及其自动化学报,2019,31(2):74-79,6.
