Power System Low Frequency Oscillation Modal Identification Based on the FastICA Technique and TLS-ESPRIT Algorithm

被引：0

作者：

Zhang C. ^{[1
,2
]}

Liu J. ^{[1
]}

Kuang Y. ^{[1
]}

Qiu B. ^{[1
]}

机构：

[1] School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou

[2] Fujian Colleges and Universities Engineering Research Center of Smart Grid Simulation & Analysis and Integrated Control, Fuzhou

来源：

Gaodianya Jishu/High Voltage Engineering | 2021年 / 47卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Fast independent component analysis; Low frequency oscillation; Mode identification; Noise interference; Power system; TLS-ESPRIT algorithm;

D O I：

10.13336/j.1003-6520.hve.20201744

中图分类号：

学科分类号：

摘要：

The noise interference and accuracy of low-frequency oscillation parameter identification in the power system are discussed, and a new method for extracting the modal parameters of low frequency oscillation is put forward. The FastICA (Fast Independent Component Analysis) is combined with the total least squares-estimation of signal parameters via rotational invariance technique (TLS-ESPRIT). Firstly, the FastICA technology is employed to pre-process the low-frequency oscillation wide-area measurement signal of power system containing noise so as to achieve noise reduction effect.Then, the TLS-ESPRIT algorithm is employed to estimate and identify the filtered signal to obtain each modal parameter. Finally, the validity and feasibility of FastICA-TLS-ESPRIT method are verified by simulation of ideal signal and EPRI-36 machine system and grid measure signal, and it is that this method not only can be adopted to effectively suppress noise and accurately identify low-frequency oscillation parameters, but also has certain advantages in anti-interference and extraction accuracy compared with traditional identification methods. © 2021, High Voltage Engineering Editorial Department of CEPRI. All right reserved.

引用

页码：2214 / 2222

页数：8