Identification of Electromechanical Modes Based on the Digital Taylor-Fourier Transform

被引：38

作者：

de la O Serna, Jose Antonio ^{[1
]}

Ramirez, Juan M. ^{[2
]}

Zamora Mendez, Alejandro ^{[2
]}

Arrieta Paternina, Mario R. ^{[2
]}

机构：

[1] Autonomous Univ Nuevo Leon, Dept Elect Engn, Monterrey, NL, Mexico

[2] Natl Polytech Inst, Res Ctr & Adv Studies, Zapopan, Jalisco, Mexico

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2016年 / 31卷 / 01期

关键词：

Digital Taylor-Fourier transform; electromechanical modes; power oscillations; ringdown analysis; signal decomposition; SPECTRAL-ANALYSIS; MODAL-ANALYSIS; POWER-SYSTEMS; PARAMETERS; SINUSOIDS; ALGORITHM; NOISE;

D O I：

10.1109/TPWRS.2015.2403290

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The digital Taylor-Fourier transform (DTFT) is used to identify low-frequency electromechanical modes in power systems. The identification process is based on the time-frequency analysis of nonlinear signals that arise after a large disturbance. The DTFT creates a signal decomposition, from which mono-component signals are extracted by spectral analysis using a filter bank. This analysis is accomplished through sliding-window data, which is updated each sample, yielding estimates of the reconstructed signal and providing information of its instantaneous damping and frequency. Results demonstrate the applicability of the proposition.

引用

页码：206 / 215

页数：10

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