基于卡尔曼滤波的电力信号频谱分析方法

N. Kose, O. Salor, K. Leblebicioğlu
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引用次数: 0

摘要

针对基频偏差较大的电力系统,提出了一种基于频谱分解的互谐波分析方法。在该方法中,通过卡尔曼滤波获得电压波形的频谱分量。该方法提供了电压波形的基频和正确的频谱,从而获得了精确的间谐波。该方法已通过电力系统的模拟数据和现场数据进行了验证,其中基频偏差较大。该方法最大的优点是谐波间频率是通过卡尔曼滤波得到的,因此不存在基于DFT方法的泄漏效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Kalman filtering based approach for spectral analysis of power signals
In this paper, a spectral decomposition based method for interharmonics analysis is proposed for power systems where the fundamental frequency deviates significantly. In the proposed method, the spectral components of the voltage waveform are obtained by Kalman filtering. The method provides the fundamental frequency and the correct spectrum of the voltage waveform, and hence the exact interharmonics are obtained. The proposed method is tested with both simulated and field data obtained from a power system, where the fundamental frequency deviation is significant. The most important advantage of the proposed method is that since the interharmonic frequencies are obtained by Kalman filtering, no leakage effect of the DFT based approaches is observed in the proposed method.
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