An Enhanced Algorithm for Frequency Estimation in Power Systems

Xiaoqing Chen, M. Henry, S. Duncan
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引用次数: 2

Abstract

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 a ß -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.
一种改进的电力系统频率估计算法
工作频率是电力系统最重要的参数之一。提出了一种新的电力系统频率估计算法。该算法基于hilbert变换锁相环(HTPLL)和复最小均方法(CLMS)。将三相电压数据输入到htpll中,得到一个近似的频率估计,并通过a ß变换形成一个复电压矢量。然后,结合复电压矢量和近似估计,CLMS算法提供了一种精细的频率估计。给出了该算法的仿真结果,并与其他频率跟踪技术进行了性能比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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