This paper presents a new method to detect power
system disturbances in a multivariate context, which i
s based on
Fourth Order Moment (FOM) and multivar
iate
analysis
implemented as S
ingular
Value
Decomposition (SVD). The
motivati
on for this development is that power systems are
increasingly affected by various disturbances and t
here is a
requirement
for the analysis of measurement
s to detect these
disturbances.
The ap
plication results on the measurements of
an
actual
power system
in
Europe
illustrate
that the
proposed
multivariate detection method achieves enhanced
detection
reliability and sensitivity.