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

A. Scaglionem, M. Jamei, S. Peisert


To appear in proceedings 2018 IEEE International Conference on Smart Grid Communications, October 2018.


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 thisgapandinvestigatethelimitationsandidentifiabilitylimitsof faultlocalizationusingPhasorMeasurementUnits(PMUs),inthe 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 faults 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.

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