An Enhanced Algorithm for Frequency Estimation in Power Systems

被引:0
作者
Chen, Xiaoqing [1 ]
Henry, Manus [1 ]
Duncan, Stephen R. [1 ]
机构
[1] Univ Oxford, Dept Engn Sci, Oxford OX1 3PJ, England
来源
2018 UKACC 12TH INTERNATIONAL CONFERENCE ON CONTROL (CONTROL) | 2018年
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Operating frequency is one of the most important parameters in power system. This paper proposes a new algorithm for power system frequency estimation. The algorithm is based on the Hilbert-transform phase-locked loops (HTPLL) and the complex least mean square (CLMS) method. The three-phase voltage data is input to the HTPLLs to obtain an approximate frequency estimation, and a complex voltage vector is formed using an alpha beta-transform. By then, combining the complex voltage vector and the approximate estimate, the CLMS algorithm provides a refined frequency estimation. Simulation results of the proposed algorithm are presented and the performance of the algorithm is compared to other frequency tracking techniques.
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页码:140 / 145
页数:6
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