Research on Sequence Component Detection Algorithm Based on Sliding-window Mean-value

被引：0
|
作者：
Zheng Changbao [1 ,2 ]
Zhang Jun [1 ,2 ]
Li Guoli [1 ,2 ]
机构：
[1] Anhui Univ, Coll Elect Engn & Automat, Hefei 230601, Anhui, Peoples R China
[2] Minist Educ, Power Qual Engn Res Ctr, Hefei 230601, Anhui, Peoples R China
来源：
PROCEEDINGS OF THE 2016 IEEE 11TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2016年
关键词：
sliding-window mean-value; Fourier analysis; symmetrical component method; Matlab simulation;
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：
Aiming at the shortcoming of traditional time domain sequence component detection algorithm, a kind of Fourier analysis algorithm of sliding-window mean-value in frequency domain was put forward. Symmetrical component method was used in calculating the sequence component of the fundamental phasor in this algorithm after using the calculation of continuous average sliding-window of Fourier analysis to separate the real component and the imaginary component of the fundamental phasor from three input signals. The Matlab simulation indicated that using sequence component detection algorithm based on sliding-window mean-value had high accuracy and satisfying real-time, dynamic performance stability.
引用
收藏
页码：531 / 533
页数：3
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