  This paper proposes a novel approach for detecting the topology of
distribution networks based on the analysis of time series measurements. The
time-based analysis approach draws on data from high-precision phasor
measurement units (PMUs or synchrophasors) for distribution systems. A key fact
is that time-series data taken from a dynamic system show specific patterns
regarding state transitions such as opening or closing switches, as a kind of
signature from each topology change. The proposed algorithm here is based on
the comparison of the actual signature of a recent state transition against a
library of signatures derived from topology simulations. The IEEE 33-bus model
is used for initial algorithm validation.
