A new method for detection and identification of power quality disturbance

被引：5
|
作者：
Wang, Chao [1 ]
Gao, Huimin [1 ]
Zhu, Taoxi [2 ]
机构：
[1] Zhejiang Univ, Dept Elect Engn, Hangzhou 310027, Peoples R China
[2] EHV Power Transmission Compan, Southern Power Grid, Guangzhou 510620, Peoples R China
来源：
2006 IEEE/PES POWER SYSTEMS CONFERENCE AND EXPOSITION. VOLS 1-5 | 2006年
基金：
美国国家科学基金会;
关键词：
power quality disturbance; wavelet de-noising; soft threshold; time domain; zero crossing point; Fast Fourier Transform;
D O I：
10.1109/PSCE.2006.296532
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：
In this paper, a new method for detection and identifleation of power quality disturbance is proposed: first, the original signals are de-noised by the wavelet transform; second, the beginning and ending time of the disturbance can be detected in the time domain, and a difference signal is formed; third, the type of power quality disturbance signals can be identified by the peak value and period; finally, parameters of disturbance signals can be calculated by Fast Fourier Transform during the disturbance time period. Based on this, software for detection and identification of power quality disturbance is developed. The application to a case study shows that this method is fast, sensitive, and practical for detection and identification of power quality disturbance.
引用
收藏
页码：1556 / +
页数：3
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