DQ Admittance Extraction for Inverter-Based Resources: Preprint

Rahul Ramakrishna, Zhixin Miao, Lingling Fan, Shahil Shah

Research output: Contribution to conferencePaper


The power grid industry is pushing for electro-magnetic 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 pages8
StatePublished - 2023
Event2023 IEEE Power & Energy Society General Meeting - Orlando, Florida
Duration: 16 Jul 202320 Jul 2023


Conference2023 IEEE Power & Energy Society General Meeting
CityOrlando, Florida

NREL Publication Number

  • NREL/CP-5D00-85295


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


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