Abstract
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.
Original language | American English |
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Pages (from-to) | 2966-2969 |
Number of pages | 4 |
Journal | IEEE Transactions on Power Systems |
Volume | 38 |
Issue number | 3 |
DOIs | |
State | Published - 2023 |
NREL Publication Number
- NREL/JA-5D00-85296
Keywords
- admittance model
- inverter-based resources
- measurement