Comparison of Instantaneous Frequency Estimation Algorithms under Power System Disturbances

被引：0
|
作者：
Carcelen-Flores, A. [1 ]
Fuentes, J. A. [1 ]
Molina-Garcia, A. [1 ]
Gomez-Lazaro, E. [2 ]
Vigueras-Rodriguez, A. [2 ]
机构：
[1] Univ Politecn Cartagena, Dept Elect Engn, Cartagena 30202, Spain
[2] Univ Castilla La Mancha, Renewable Res Inst, Albacete 02071, Spain
来源：
2012 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING | 2012年
关键词：
Instantaneous Frequency (IF) estimation; power disturbances; signal model; tracking algorithms; real data; PHASOR; TRACKING; SIGNAL;
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：
This paper presents a review of proposed algorithms for power system frequency and amplitude tracking based on sample comparison, Clarke transformation, Zero-Crossings (ZC), Discrete Fourier Transformation (DFT), Gauss-Newton (GN) search, and Maximum Likelihood (ML) concepts. The aim is to identify their performance, strengths and weaknesses, under present power system conditions, proposing some improvements, and assessing them with real measured signal disturbances.
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页数：8
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