Application of advanced signal processing methods for accurate detection of voltage dips

被引：0
|
作者：
Amaris, H. [1 ]
Alvarez, C. [1 ]
Alonso, M. [1 ]
Florez, D. [1 ]
Lobos, T. [2 ]
Janik, P. [2 ]
Rezmer, J. [2 ]
Waclawek, Z. [2 ]
机构：
[1] Univ Carlos III Madrid, Madrid, Spain
[2] Wroclaw Univ Technol, PL-50370 Wroclaw, Poland
来源：
2008 13TH INTERNATIONAL CONFERENCE ON HARMONICS AND QUALITY OF POWER, VOLS 1 AND 2 | 2008年
关键词：
Power Quality; Wavelets; Kalman filter; Dynamic Voltage Restorer;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Custom Power Devices like the Dynamic Voltage Restorer have been applied for voltage dip mitigation in the last years. These electronic equipments need fast and reliable voltage dip detection algorithms. Such detection methodologies must be able to detect a voltage dip as fast as possible and be immune to other types of perturbations. In this paper we address the problem of voltage dip estimation by using different advanced signal processing methods such as Kalman filtering, Fourier based algorithms and Wavelet processing. The three algorithms have been tested under different conditions: voltage dip with phase jump, noise, frequency variations. The final implementation on a Texas Instrument DSP TMS320F2812DSP has been done.
引用
收藏
页码：191 / +
页数：2
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