短时间内识别低频振荡的proony滤波器的实时仿真

A. Zamora, A. Avalos, J. A. la O de Serna, J. Chow, M. Paternina
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引用次数: 1

摘要

本文研究了用于电力系统低频动态捕获的proony滤波器的实时仿真。该系统的开发是集成OPAL-RT和Matlab & Simulink两个平台完成的。其中,为了在短时间内获得阻尼和频率估计,实现了计算效率高的proony计算。分析是通过滑动分析窗口执行的,它用于保证即时估计。将低频振荡的辨识过程应用于两个系统。实验结果验证了该算法的性能、精度和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time simulation of the Prony filter for identifying low frequency oscillations in short-time
This paper specializes on the real-time simulation of the Prony filter for capturing low frequency dynamics in power systems. The development is accomplished integrating two platforms: OPAL-RT and Matlab & Simulink. Where a computational efficient Prony calculation is implemented in order to yield damping and frequency estimates in short-time. The analysis is performed through a sliding analisys window, which it is used to guarantee instantaneous estimates. The low frequency oscillations’ identification process is applied on two systems. Experimental results confirm the propositions performance, precision, and reliability.
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