卡尔曼平滑算法在同步相位估计中的应用

D. Fontanelli, D. Petri
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引用次数: 0

摘要

电波形相量测量由于其在未来智能电网的高性能监测中的关键作用而受到越来越多的关注。特别是,最近提出了基于动态相量模型的各种估计算法,以满足准确跟踪配电系统中功率波形的幅度、相位和频率变化的严格要求。本文提出了一种基于动态相量模型的卡尔曼平滑器,用于估计采集波形的幅值、相位、频率和频率变化率。通过在IEEE C37.118.1-2011标准中描述的不同条件下的仿真来评估所提出方法的准确性,并与最先进的方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applying a Kalman smoother to synchrophasoi estimation
Electrical waveform phasor measurements are receiving an increasing interest due to their key role in high-performance monitoring of future smart grids. In particular, different estimation algorithms based on a dynamic phasor model have been recently proposed in order to comply with the strict requirements needed to accurately track amplitude, phase, and frequency changes of power waveforms in distribution systems. In this paper, a Kalman smoother based on a dynamic phasor model is proposed to estimate amplitude, phase, frequency and rate of change of frequency of the collected waveforms. The accuracy of the proposed approach is evaluated through simulations in different conditions described in the Standard IEEE C37.118.1-2011 and a comparison with a state-of-the-art method is performed.
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