Fault Behavior of Inverter-based Resources: A Comparative Study for Grid-forming and Grid-following Control Paradigms

Nathan Baeckeland, D. Venkatramanan, Michael Kleemann, Sairaj Dhople

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this paper, we compare the performance of grid-forming (GFM) and grid-following (GFL) inverters during unbalanced grid faults. By performing an exhaustive time-domain electromagnetic transient (EMT) simulation study of an all-inverter network, we compute a variety of transient and steady-state fault signatures including peak current, transient time, sequence voltages, and harmonic distortion with computational methods spanning wavelet, Fourier, and Forstescue transforms. Simulation results quantitatively establish that: i) GFM control architectures offer superior transient and steady-state fault performance compared to GFL architectures, ii) the performance of the virtual-impedance current limiter in GFM inverters offers better performance compared to current-reference saturation limiter, and iii) the specific choice of primary-control method has minimal impact on fault behavior of GFM inverters.

Original languageEnglish (US)
Title of host publicationIECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
ISBN (Electronic)9781665480253
DOIs
StatePublished - 2022
Externally publishedYes
Event48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 - Brussels, Belgium
Duration: Oct 17 2022Oct 20 2022

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
Volume2022-October

Conference

Conference48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022
Country/TerritoryBelgium
CityBrussels
Period10/17/2210/20/22

Bibliographical note

Funding Information:
This work was supported in part by the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy under Solar Energy Technologies Office (SETO) through the award numbers EE0009025 and 38637 (UNIFI consortium), respectively; and the Belgian American Educational Foundation.

Publisher Copyright:
© 2022 IEEE.

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