DQ Admittance Model Extraction for IBRs via Gaussian Pulse Excitation

Lingling Fan, Zhixin Miao, Li Bao, Shahil Shah, Rahul Ramakrishna

Research output: Contribution to journalArticlepeer-review

1 Scopus Citations

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 languageAmerican English
Pages (from-to)2966-2969
Number of pages4
JournalIEEE Transactions on Power Systems
Volume38
Issue number3
DOIs
StatePublished - 2023

Bibliographical note

Publisher Copyright:
© 1969-2012 IEEE.

NREL Publication Number

  • NREL/JA-5D00-85296

Keywords

  • admittance model
  • Inverter-based resources
  • measurement

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