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Development of visualization toolbox for monitoring electromechanical oscillations

机译:开发用于监视机电振荡的可视化工具箱

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Low frequency power oscillations are well-known problem in the contest of power system stability issues. Some of these oscillations get triggered due to events, but can be damped out. On the other hand, undamped oscillations result into system collapse. In this regard, Wide Area Monitoring Systems (WAMS) using Phasor Measurement Units (PMUs) signals can assist in monitoring of power oscillations. This paper presents a scheme for visual monitoring of low frequency power oscillations. The scheme uses empirical mode decomposition (EMD) technique to decompose the segmented moving window frame of PMUs signal and provide relevant information of mode and damping. In the developed visualization toolbox, it is possible to know several low frequency modes present in the segmented frame and how frequently these are observed in the entire length of PMUs data.
机译:低频功率振荡是电力系统稳定性问题中众所周知的问题。这些振荡中的一些会由于事件而触发,但可以被抑制。另一方面,未阻尼的振荡会导致系统崩溃。在这方面,使用相量测量单元(PMU)信号的广域监视系统(WAMS)可以帮助监视电源振荡。本文提出了一种可视化监测低频功率振荡的方案。该方案采用经验模态分解(EMD)技术对PMU信号的分段运动窗框进行分解,并提供有关模态和阻尼的信息。在开发的可视化工具箱中,可以知道分段帧中存在的几种低频模式,以及在整个PMU数据长度中观察到这些频率的频率。

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