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Real-time transmission line outage detection is difficult because of partialphasor measurement unit (PMU) deployment and varying outage signal strength.Existing detection approaches focus on monitoring PMU-measured nodal algebraicstates, i.e., voltage phase angle and magnitude. The success of suchapproaches, however, is largely predicated on strong outage signals and thepresence of PMUs in the outage location's vicinity. To overcome theselimitations, a unified framework is proposed in this work by utilizing bothnodal voltage information and generator dynamic states, e.g., rotor angularposition. The proposed scheme is shown to be faster and more robust to unknownoutage locations through the incorporation of generator dynamics. Using theIEEE 39-bus system simulation data, the proposed scheme's properties andperformances compared to existing approaches are presented. The new approachcould help improve operators' real-time situational awareness by detectingoutages faster and providing a breakdown of outage signals for diagnosticpurposes, making future power systems more resilient.

Dynamic Power Systems Line Outage Detection Using Particle Filter and Partially Observed States