On-line tracking of time varying harmonics using an integrated extended complex Kalman filter and Fourier linear combiner

P. Dash, A. K. Pradhan, G. Panda, R. Jena, S. Panda
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引用次数: 12

Abstract

The paper presents an integral approach for the estimation of harmonic components of a power system based on the use of Fourier linear combiner (FLC) and extended complex Kalman filter (ECKF). The ECKF estimates the accurate frequency of the signal to update the nominal frequency of the input vector to the FLC. The FLC tracks the the Fourier coefficients of the signal data corrupted with noise very accurately. Once signal is modeled properly, the time varying harmonics of a power system can be estimated accurately using this new approach. Several numerical tests have been conducted to highlight the effectiveness of the technique even in the presence of frequency jump, amplitude variations, noise etc.
基于扩展复卡尔曼滤波和傅立叶线性组合器的时变谐波在线跟踪
本文提出了一种基于傅里叶线性组合器和扩展复卡尔曼滤波器的电力系统谐波分量估计的积分方法。ECKF估计信号的准确频率,以更新FLC输入矢量的标称频率。FLC可以非常精确地跟踪被噪声破坏的信号数据的傅里叶系数。一旦对信号进行了适当的建模,利用该方法可以准确地估计出电力系统的时变谐波。几个数值测试已经进行,以突出该技术的有效性,即使在存在频率跳变,幅度变化,噪声等。
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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