A DC offset removal algorithm based on AR model

Woo-Joong Kim, Sang-Hee Kang
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引用次数: 5

Abstract

ABSTRACTThis work proposes an auto-regressive (AR) model-based algorithm that can eliminate the adverse influence of the exponentially decaying DC offset in the phasor estimation process using discrete Fourier transform (DFT). The proposed algorithm comprises three stages: DFT, AR model implementation, and compensation. First, DFT can eliminate all harmonic components and estimate the phasor of the fundamental frequency component. Second, the AR model is used to calculate the error caused by the exponentially decaying DC offset in the phasor value estimated by DFT. A second-order AR model that uses three successively estimated phasor values is utilized. Finally, the phasor of the fundamental frequency component can be accurately estimated by compensating the error caused by the exponentially decaying DC offset. The performance of the proposed algorithm is evaluated for a-phase to ground fault on a 154 kV 25 km overhead transmission line. Electromagnetic Transients Program is used to generate fault signals...
一种基于AR模型的直流偏移去除算法
摘要本文提出了一种基于自回归(AR)模型的算法,该算法可以利用离散傅立叶变换(DFT)消除指数衰减直流偏移对相量估计过程的不利影响。该算法包括三个阶段:DFT、AR模型实现和补偿。首先,DFT可以消除所有谐波分量并估计基频分量的相量。其次,利用AR模型计算由DFT估计的相量值中指数衰减的直流偏移所引起的误差。利用三个连续估计相量值的二阶AR模型。最后,通过补偿指数衰减直流偏置引起的误差,可以准确地估计基频分量的相量。以154 kV 25km架空输电线路a相接地故障为例,对该算法的性能进行了评价。电磁瞬变程序用于产生故障信号。
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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