DQ Admittance Model Extraction for IBRs via Gaussian Pulse Excitation

While
$dq$
admittance models have shown to be very useful for stability analysis, extracting admittance models of inverter-based resources (IBRs) from the electromagnetic transient (EMT) simulation environment using frequency scans takes time. In this letter, a new perturbation method based on Gaussian pulses in combination with the system identification algorithms shows great promise for parametric
$dq$
admittance model extraction. We present the
$dq$
admittance model extracting method for a type-4 wind turbine. Challenges in implementing Gaussian pulse excitation are also pointed out. The extracted
$dq$
admittance model via the new method shows to have a high matching degree with the measurements obtained from frequency scans.