  Online transmission line outage detection over the entire network enables
timely corrective action to be taken, which prevents a local event from
cascading into a large scale blackout. Line outage detection aims to detect an
outage as soon as possible after it happened. Traditional methods either do not
consider the transient dynamics following an outage or require a full Phasor
Measurement Unit (PMU) deployment. Using voltage phase angle data collected
from a limited number of PMUs, we propose a real-time dynamic outage detection
scheme based on alternating current (AC) power flow model and statistical
change detection theory. The proposed method can capture system dynamics since
it retains the time-variant and nonlinear nature of the power system. The
method is computationally efficient and scales to large and realistic networks.
Extensive simulation studies on IEEE 39-bus and 2383-bus systems demonstrated
the effectiveness of the proposed method.
