DQ Admittance Extraction for Inverter-Based Resources: Preprint

Conference · Mon Jul 24 00:00:00 EDT 2023

OSTI ID:1992821

Ramakrishna, Rahul H.; Miao, Zhixin; Fan, Lingling; Shah, Shahil

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.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office
• DOE Contract Number: AC36-08GO28308
• OSTI ID: 1992821
• Report Number(s): NREL/CP-5D00-85295; MainId:86068; UUID:5dba3b4b-4c0a-47e6-84c2-558da06950de; MainAdminID:69115
• Conference Information: Presented at the 2023 IEEE Power & Energy Society General Meeting, 16-20 July 2023, Orlando, Florida
• Country of Publication: United States
• Language: English

Related Subjects

admittance model
eigensystem realization analysis
frequency scan
POWER TRANSMISSION AND DISTRIBUTION
system identification