The use of time-varying AR models for the characterization of voltage disturbances

被引：0

作者：

Gu, IYH ^{[1
]}

Bollen, MHJ ^{[1
]}

Styvaktakis, E ^{[1
]}

机构：

[1] Chalmers Univ Technol, S-41296 Gothenburg, Sweden

来源：

2000 IEEE POWER ENGINEERING SOCIETY WINTER MEETING - VOLS 1-4, CONFERENCE PROCEEDINGS | 2000年

关键词：

time-frequency analysis; harmonic analysis; power quality; power system measurements; signal processing; multiresolution analysis; parametric models;

D O I：

暂无

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：

A signal-processing tool, AutoRegressive (AR) modeling, has been introduced to analyze disturbance measurement data from events, like voltage dips, capacitor switching and transformer energizing. We show that time-varying AR models may be utilized for detecting sudden transitions of the signal by examining the models' residuals. We also show a potential way of detecting and describing signal transients, using the time-evolved AR model spectra. To examine the disturbances over the entire spectral range, a multiresolution disturbance analysis scheme is presented.

引用

页码：2943 / 2948

页数：4