A
methodology to estimate armature circuit and field winding parameters of
a synchronoususing the synthetic
data obtained by the machine natural abc frame of reference simulation
is presented. First, a one-machine infinite bus system including the machine
and its excitation system is simulated in abc frame of reference
by using parameters provided by the machine manufacturer. A proper data
set required for estimation is collected by perturbing the field side of
the machine in small amounts. The recursive maximum likelihood (RML) estimation
technique is employed for the identification of armature circuit parameters.
Subsequently, based on the estimates of armature circuit parameters, the
field winding and some damper parameters are estimated using an Output
Error Estimation (OEM) technique. For each estimation case, the estimation
performance is also validated with noise corrupted measurements.
The
study shows that noise corruption problems can be effectively handled with
the RML algorithm for estimation of armature circuit parameters.. For lower
signal to noise ratio(SNR) values, the RML estimates of mutual inductances
and field to stator turns ratio has been estimated. The OEM estimation
results reveal that good estimates of the actual parameters can be obtained
with proper initialization. It is shown that for large
excitation disturbances, the OEM estimation technique can recover the model
parameters with unobservable state from noise corrupted data.
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