ITERATIVELY REWEIGHTED LINEAR LEAST SQUARES FOR FREQUENCY ESTIMATION IN UNBALANCED THREE-PHASE POWER SYSTEM

被引：0

作者：

Chen, Yuan ^{[1
]}

Sun, Weize ^{[2
]}

Huang, Long-Ting ^{[3
]}

So, Hing Cheung ^{[4
]}

机构：

[1] Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing, Peoples R China

[2] Shenzhen Univ, Coll Informat Engn, Shenzhen, Guangdong, Peoples R China

[3] Wuhan Univ Technol, Sch Informat Engn, Wuhan, Hubei, Peoples R China

[4] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China

来源：

2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2019年

基金：

中国国家自然科学基金;

关键词：

Unbalanced three-phase power system; frequency estimation; harmonics; generalized weighted linear prediction; batch-mode; ACCURATE;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Smart grid has attracted increasing attention in the past decade, and one of its common problems is the variation of the nominal frequency (50 or 60 Hz) introduced by harmonics. In this paper, a batch-mode frequency estimator that can accurately obtain the deviation from the nominal frequency is proposed. The signal model, which includes not only the fundamental frequency but also the harmonics, is first defined, and its characteristic is then studied. Employing the linear prediction (LP) property of the model, the deviated frequency is iteratively updated according to the weighted LP errors, to achieve accurate fundamental frequency estimation. Computer simulations indicate that our proposed method is more accurate and reliable than the conventional estimators in the presence of harmonics and amplitude oscillation.

引用

下载

页码：8097 / 8101

页数：5

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