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

机译:相量测量单元与社区检测的低分辨率故障定位

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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:关于故障定位的大量文献都(或多或少明确地)假设存在足够的可靠测量值,以保证系统是可观测的。尽管有几种启发式方法可以打破可观察性的障碍,但它们大多依赖于识别时空模式,而无法提供有关性能如何与系统功能和传感器部署联系在一起的见解。在本文中,我们试图填补这一空白,并在低测量范围内(即当可用测量无法观测到系统时)使用相量测量单元(PMU)研究故障定位的局限性和性能极限。我们的主要贡献是表明人们如何利用稀缺的测量值在子图水平上定位不同类型的配电线路故障(三相,单相接地),而不是用一条线。我们表明,我们获得的分辨率与网络科学中的图聚类概念紧密相关。

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