相量估计算法综述

M. Kovacic, M. Jurčević, R. Malarić, A. Kunac
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引用次数: 0

摘要

本文介绍了最常用的相量参数估计算法。介绍了基于递归和非递归DFT算法的大多数算法。针对每一种算法分别给出了:优点、缺点、运行方式和未来可能的研究方向。此外,还提出了基于有限和无限脉冲响应滤波器的相量参数估计算法。对于每一种操作方式,都给出了优点和缺点。由于与具有有限脉冲响应的滤波器相比,具有无限脉冲响应的滤波器具有更好的特性,因此未来的研究是可能的。它们在半周期频率内检测信号的精度更高,速度更快。小波变换。本文还介绍了其递归版本,因为它们已被证明非常适合应用于PMU设备,因为这些算法消除了直流分量,并且比基于有限或无限脉冲响应滤波器的算法工作速度快得多。小波变换在利用新小波估计相量参数、多分辨率分析、连接滤波记录等领域具有很大的研究潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review of Phasor Estimation Algorithms
In this paper the most commonly used algorithms for estimating phasor parameters are presented. The most algorithms based on recursive and non-recursive DFT algorithm are presented too. For each algorithm is shown: advantages, disadvantages, mode of operation and possible future research. Furthermore, algorithms for estimating phasor parameters based on finite and infinite impulse response filters are presented. For each of them the mode of operation, advantages and disadvantages are shown. Future research is possible for a filter with a infinite impulse response due to better characteristics compared to filters with a finite impulse response as; they detect signal more accurately and faster in half cycle period of frequency. Wavelet transform ie. its recursive version is also presented in this paper as they have been proven to be very good for application in PMU devices because these algorithms eliminate DC component and work much faster than algorithms based on finite or infinite impulse responses filters. Wavelet transformations have great potential for future research in the field of estimating phasor parameters using new wavelets, multiresolution analysis, connection to filter records and more.
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