Time-Domain Measurement-Based $DQ$-Frame Admittance Model Identification for Inverter-Based Resources

Fan, Lingling; Miao, Zhixin

doi:10.1109/tpwrs.2020.3040360

Time-Domain Measurement-Based $DQ$-Frame Admittance Model Identification for Inverter-Based Resources

Journal Article · Tue Nov 24 00:00:00 EST 2020 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/tpwrs.2020.3040360· OSTI ID:1972001

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Univ. of South Florida, Tampa, FL (United States); University of South Florida
Univ. of South Florida, Tampa, FL (United States)

Unprecedented dynamic phenomena appear in power grids due to integration of more and more inverter-based resources (IBR). A major challenge is that inverter models are proprietary information and usually only real code models are provided to grid operators. Thus, measurement based characterization of IBR is a popular approach to find the frequency-domain measurements of an IBR's admittance or impedance. The predominant methods rely on injecting perturbation and extracting frequency-domain information via fast Fourier transform (FFT). The goal of this research is to design time-domain measurement-based admittance identification methods so that event data can be utilized for online admittance identification. The proposed method has a key step: converting dq-frame voltage and current transient responses into s-domain expressions using eigensystem realization algorithm (ERA) or dynamic mode decomposition (DMD). From there, s-domain admittance or frequency-domain admittance measurement will be computed. Proof of concept is first demonstrated using the data generated from an analytical model representing a grid-integrated IBR. The identified admittance is shown to be the exact match of the known admittance in the subsynchronous frequency range. The identified s-domain admittance is employed for eigenvalue analysis and accurate stability prediction can be made. Here, the tool is then tested on two electromagnetic transient (EMT) computer simulation testbeds: a PV grid-integration system and a type-4 wind grid-integration system. In the first case, offline admittance identification is demonstrated. In the second case, online admittance identification using data from two events is demonstrated.

View Accepted Manuscript (DOE)

Research Organization:: Univ. of South Florida, Tampa, FL (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: EE0008771

OSTI ID:: 1972001

Alternate ID(s):: OSTI ID: 1848882

Journal Information:: IEEE Transactions on Power Systems, Journal Name: IEEE Transactions on Power Systems Journal Issue: 3 Vol. 36; ISSN 0885-8950

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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