Enhancement of Harmonic State Estimation Using Harmonic Prediction

The world wide increasing using nonlinear loads, mostly consisting of power electronics devices in many applications that bring
a great concern about power quality problems caused by these nonlinear loads, harmonics pollution is main concern of power
quality issues due to its harmful effect on power system network, several harmonic state estimation “H.S.E” methods have been
devolved to estimate the harmonic magnitude level and to identify the harmonic sources ,This paper presents a concept, method
and function of harmonic state estimation and implementation of the singular value decomposition “S.V.D” algorithm on power
system harmonic state estimation for partially observable systems with harmonic prediction method to compensate the loss of
the observation and maintain the redundancy of the measurements. The result shown that the proposed harmonic prediction
method can compensate the loss of the measurement and therefore; enhance the performance of “S.V.D” algorithm when the
loss of observation occurs.