%APiaquadio, Nicholas%AWu, N.%AZhou, Ning%D2022%I
%K
%MOSTI ID: 10397679
%PMedium: X
%TDevelopments in Robust Topology Detection under Load Uncertainty
%XThis paper reports two extensions to the authorsâ€™ recent work on the design of an optimally robust topology detector for a power transmission circuit with uncertain loads. Such a detector was implemented as a linear discriminator for the IEEE 9-bus system to identify, with a sub-millisecond latency, the intact circuit, or any single open-circuited line, using only the phasor measurements at the generatorsâ€™ terminals. The first extension aims to replace the previously required bounded uncertain load set by a load distribution that permits rarer measurement outliers. This problem is formulated and solved as a support vector classifier. The second extension explores the solvability of a linear discriminator for topology identification for larger power systems under a bounded uncertain load set. A measure of adequacy of the involved measurement network is introduced, under which a sensor placement problem is formulated for the addition of a minimum number of phasor measurement units to meet a prescribed level of topology identifiability. In this case, sensor placement, detector design, and detector performance and robustness are demonstrated on the IEEE 68-bus system.
Country unknown/Code not availablehttps://doi.org/10.23919/ACC53348.2022.9867509OSTI-MSA