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Low-Resolution Fault Localization Using Phasor Measurement Units with Community Detection

机译:低分辨率故障定位使用相分测量单位进行社区检测

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A significant portion of the literature on fault localization assumes (more or less explicitly) that there are sufficient reliable measurements to guarantee that the system is observable. While several heuristics exist to break the observability barrier, they mostly rely on recognizing spatio-temporal patterns, without giving insights on how the performance are tied with the system features and the sensor deployment. In this paper, we try to fill this gap and investigate the limitations and performance limits of fault localization using Phasor Measurement Units (PMUs), in the low measurements regime, i.e., when the system is unobservable with the measurements available. Our main contribution is to show how one can leverage the scarce measurements to localize different type of distribution line faults (three-phase, single-phase to ground, ...) at the level of sub-graph, rather than with the resolution of a line. We show that the resolution we obtain is strongly tied with the graph clustering notion in network science.
机译:故障定位的一部分文献的重要部分假定(或多或少明确),有足够的可靠测量来保证系统是可观察的。虽然存在几个启发式方法来打破可观察性屏障,但它们大多依赖于识别时空模式,而无需了解性能如何与系统特征和传感器部署联系。在本文中,我们尝试使用Phasor测量单位(PMU)来填补该差距,并在低测量方案中使用Phasor测量单元(PMU),即,当系统无法使用的测量时,系统不可接受。我们的主要贡献是展示如何利用稀缺测量来定位不同类型的分销线故障(三相单相到地,......),而不是通过分辨率一条线。我们表明我们获得的决议与网络科学中的图形聚类概念强烈绑定。

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