Iterative Weighted Least Squares Frequency Estimation for Harmonic Sinusoidal Signal in Power Systems

被引：0
|
作者：
Sun, Jiadong [1 ,2 ]
Aboutanios, Elias [1 ]
Smith, David B. [2 ,3 ]
机构：
[1] Univ New South Wales, Sch Elect & Telecommun Engn, Sydney, NSW, Australia
[2] CSIRO, Data61, Sydney, NSW, Australia
[3] Australian Natl Univ, Canberra, ACT, Australia
来源：
2018 26TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2018年
关键词：
Fundamental frequency estimation; harmonic distortion; weighted least squares; Fourier interpolation; three-phase power systems; PARAMETER-ESTIMATION;
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：
In this paper, a two-level iterative weighted least squares (TIWLS) method is proposed to estimate the voltage frequency in a balanced three-phase (3PH) power system with harmonic distortion. The novel TIWLS estimator exploits the weighted least squares (WLS) technique to reuse the discarded information of the previous harmonic Aboutanios and Mulgrew (HAM) algorithm. Consequently, the TIWLS method can reduce the main estimation error in HAM estimator caused by the maximum bin search. The entire two-step estimation scheme has the same order complexity as the fast Fourier transform (FFT) algorithm, which is computationally efficient. Simulation results are presented to test the TIWLS algorithm, demonstrating that the new TIWLS estimator always outperforms HAM method with less oscillation.
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页码：176 / 180
页数：5
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