Abstract
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 language | American English |
---|---|
Number of pages | 8 |
State | Published - 2023 |
Event | 2023 IEEE Power & Energy Society General Meeting - Orlando, Florida Duration: 16 Jul 2023 → 20 Jul 2023 |
Conference
Conference | 2023 IEEE Power & Energy Society General Meeting |
---|---|
City | Orlando, Florida |
Period | 16/07/23 → 20/07/23 |
NREL Publication Number
- NREL/CP-5D00-85295
Keywords
- admittance model
- eigensystem realization analysis
- frequency scan
- system identification