Harmonic Parameter Estimation of a Power Signal using FT-RLS Algorithm

被引：0

作者：

Singh, Santosh Kumar ^{[1
]}

Goswami, Arup Kumar ^{[1
]}

Sinha, Nidul ^{[1
]}

机构：

[1] Natl Inst Technol Silchar, Dept Elect Engn, Silchar, Assam, India

来源：

2014 IEEE 16TH INTERNATIONAL CONFERENCE ON HARMONICS AND QUALITY OF POWER (ICHQP) | 2014年

关键词：

Extended Least Mean Square (ELMS); Fast Transverse Recursive Least Square (FT-RLS); Forgetting Factor Recursive Least Square (FF-RLS); Least Mean Square (LMS); Recursive Least Square (RLS); CONVERGENCE;

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：

Many algorithms have been proposed for harmonic estimation to improve the power quality performance, but till today it is still a challenge for accurate estimation. In this paper an adaptive filtering algorithm called Fast Transverse Recursive Least Square (FT-RLS) is applied for the first time for estimating harmonic parameters. The algorithm has been considered to estimate the amplitudes, phases and frequency in case of time varying power signals containing harmonics in the presence of White Gaussian Noise in MATLAB simulating environment. Also comparison results with two recently proposed algorithms such as Forgetting Factor Recursive Least Square (FF-RLS) and Recursive Least Square (RLS) are presented to show the effectiveness of the proposed FT-RLS algorithm.

引用

页码：157 / 161

页数：5

共 14 条

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