Persistent-homology-based detection of power system low-frequency oscillations using PMUs
Persistent-homology-based detection of power system low-frequency oscillations using PMUs
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DOI：
10.1109/globalsip.2016.7905952
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发表时间：
2016-12
期刊：
影响因子：
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通讯作者：
Yang Chen;H. Chintakunta;Le Xie;yuliy baryshnikov;P. Kumar
中科院分区：
文献类型：
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作者：
Yang Chen;H. Chintakunta;Le Xie;yuliy baryshnikov;P. Kumar
本文提出了一种新的方法来检测低频振荡的电力系统中使用的时间同步数据相量测量单元（PMU）。首先对大量PMU数据进行主成分分析（PCA），提取低维特征，即，主成分（PC）。然后，基于持久同源性，提出了一个周期性响应函数，通过使用PC检测低频振荡。只要周期性响应超过数值上的鲁棒阈值，就可以立即检测到低频振荡。这种快速检测之后可以通过模态分析工具获得有关振动的更详细信息。使用真实的数据的数值例子说明了所提出的方法在操作过程中的振荡的快速检测的有效性。
This paper presents a new methodology to detect low-frequency oscillations in power grids by use of time-synchronized data from phasor measurement units (PMUs). Principal component analysis (PCA) is first applied to the massive PMU data to extract the low-dimensional features, i.e., the principal components (PCs). Then, based on persistent homology, a cyclicity response function is proposed to detect low-frequency oscillations through the use of PCs. Whenever the cyclicity response exceeds a numerically robust threshold, a low-frequency oscillation can be detected instantly. Such swift detection can then be followed by modal analysis tools for more detailed information about the oscillation. Numerical examples using real data illustrate the effectiveness of the proposed methodology for quick detection of oscillations during operations.