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
收藏
页码：2214 / 2222
页数：8
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