DQ Admittance Extraction for Inverter-Based Resources

Rahul Ramakrishna, Zhixin Miao, Lingling Fan, Shahil Shah

Research output: Contribution to conferencePaper

Abstract

The power grid industry is pushing for electromagnetic transient (EMT)-based studies for generation interconnection and planning process due to high penetrations of inverter-based resource (IBRs). Vendor-specific and site-specific black-box IBR models are preferred in those simulation studies. For small-signal analysis, measurement-based admittance models are necessary. In this paper, we demonstrate the extraction of frequency-domain dq frame IBR models. These linear models are specific to operating conditions. We demonstrate two extraction methods: frequency scan and a step response-based method. The latter relies on converting time-domain responses to Laplace-domain expressions via eigensystem realization analysis (ERA). Both can lead to dq admittance representation and the latter is time saving.
Original languageAmerican English
Number of pages5
DOIs
StatePublished - 2023

Bibliographical note

See NREL/CP-5D00-85295 for preprint

NREL Publication Number

  • NREL/CP-5D00-88245

Keywords

  • admittance model
  • eigensystem realization analysis
  • frequency scan
  • system identification

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