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We consider the problem of identifying a single line outage in a power gridby using data from phasor measurement units (PMUs). When a line outage occurs,the voltage phasor of each bus node changes in response to the change innetwork topology. Each individual line outage has a consistent "signature," anda multiclass logistic regression (MLR) classifier can be trained to distinguishbetween these signatures reliably. We consider first the ideal case in whichPMUs are attached to every bus, but phasor data alone is used to detect outagesignatures. We then describe techniques for placing PMUs selectively on asubset of buses, with the subset being chosen to allow discrimination betweenas many outage events as possible. We also discuss extensions of the MLRtechnique that incorporate explicit information about identification of outagesby PMUs measuring line current flow in or out of a bus. Experimental resultswith synthetic 24-hour demand profile data generated for 14, 30, 57 and 118-bussystems are presented.

PMU Placement for Line Outage Identification via Multiclass Logistic Regression