Admittance Identification of Grid-Forming Inverters Using Time and Frequency-Domain Techniques

The increasing integration of inverter-based resources (IBRs) into the power grid introduces new challenges, requiring detailed electromagnetic transient (EMT) studies to analyze system interactions. Despite these needs, access to the internal firmware of power electronic devices remains restricted due to stringent nondisclosure agreements enforced by manufacturers. To address this, we explore three system identification techniques: sweep frequency response analysis (SFRA), step excitation method (SEM), and eigensystem realization algorithm (ERA). SFRA employs sinusoidal signals of varying frequencies to measure the system’s frequency response, while SEM and ERA utilize step functions to derive time-domain responses and transform them into Laplace-domain transfer functions. All three approaches are shown to provide consistent results in identifying the dq admittance of grid-forming inverters (GFM) over a frequency range of 1 Hz to 100 Hz.

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Publication Details

Published
2025-06-29
DOI
https://doi.org/10.1109/powertech59965.2025.11180468
Citations
1
Primary Topic
Multilevel Inverters and Converters
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article
Field-Weighted Citation Impact
0.73
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article

Admittance Identification of Grid-Forming Inverters Using Time and Frequency-Domain Techniques

Charalambos Konstantinou, Francesco Liberati, Alexandros Paspatis, Andres Intriago
1 citations
Multilevel Inverters and Converters
0.73
article

Admittance Identification of Grid-Forming Inverters Using Time and Frequency-Domain Techniques

Charalambos Konstantinou, Francesco Liberati, Alexandros Paspatis, Andres Intriago
article en
1 citations

Abstract

The increasing integration of inverter-based resources (IBRs) into the power grid introduces new challenges, requiring detailed electromagnetic transient (EMT) studies to analyze system interactions. Despite these needs, access to the internal firmware of power electronic devices remains restricted due to stringent nondisclosure agreements enforced by manufacturers. To address this, we explore three system identification techniques: sweep frequency response analysis (SFRA), step excitation method (SEM), and eigensystem realization algorithm (ERA). SFRA employs sinusoidal signals of varying frequencies to measure the system’s frequency response, while SEM and ERA utilize step functions to derive time-domain responses and transform them into Laplace-domain transfer functions. All three approaches are shown to provide consistent results in identifying the dq admittance of grid-forming inverters (GFM) over a frequency range of 1 Hz to 100 Hz.

Manchester Metropolitan University (GB), King Abdullah University of Science and Technology (SA), Sapienza University of Rome (IT)
Openalex Percentile: Top 23%
Multilevel Inverters and Converters
0.73
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