Frequency Estimation of Power Systems in Context of Smart Grids

被引：0

作者：

Ykhlef, Farid ^{[1
]}

Ykhlef, Hadjer ^{[2
]}

Ykhlef, Faycal ^{[3
]}

机构：

[1] Univ Blida, Dept Elect, LATSI Lab, Blida, Algeria

[2] Univ Blida, Dept Comp Sci, LRDSI Lab, Blida, Algeria

[3] Ctr Rech Technol Avancees, Div Design & Implementat Intelligent Syst, Blida, Algeria

来源：

PROCEEDINGS OF 2015 3RD IEEE INTERNATIONAL RENEWABLE AND SUSTAINABLE ENERGY CONFERENCE (IRSEC'15) | 2015年

关键词：

Frequency estimation; smart grid; signal processing; recursive DFT algorithm;

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：

This paper considers the field of automated monitoring and diagnostics equipment to deal with an electric power system in the context of smart grids. The objective of this study is to examine the impact of signal processing techniques on the electrical signals provided from electric power grid. We presented a recursive Discrete Fourier Transform (DFT) algorithm for the instantaneous estimation of frequency. Several simulation test results are presented to highlight the usefulness of the recursive algorithm in the estimation of nominal electric power grid frequency.

引用

页码：799 / 803

页数：5

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