Modeling, Analysis, and Design for Small-Signal Stability in Sequence-Decomposed Grid-Forming Control

Fast and accurate detection of symmetrical components is critical for ride-through of asymmetrical faults in grid-forming (GFM) inverter based resources (IBRs). Sequence-decomposed GFM control enables to emulate the behavior of a synchronous machine by an IBR in both positive- and negative-sequences...

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Veröffentlicht in:IEEE transactions on industry applications 2024-01, Vol.60 (1), p.1-11
Hauptverfasser: Awal, M A, Cen, Siye, Rachi, Md Rifat Kaisar, Yu, Hui, Schroder, Stefan, Husain, Iqbal
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Sprache:eng
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Zusammenfassung:Fast and accurate detection of symmetrical components is critical for ride-through of asymmetrical faults in grid-forming (GFM) inverter based resources (IBRs). Sequence-decomposed GFM control enables to emulate the behavior of a synchronous machine by an IBR in both positive- and negative-sequences, where current references are generated separately in each sequence from the extracted symmetrical components of the terminal voltage. Cross-coupled dynamics between the stationary frame components attributed by the symmetrical component extraction (SCE) complicates the analysis and design process and appropriate modeling and analysis method for sequence-decomposed GFM control structures is yet to be reported. In this work, a small-signal model is developed for the analysis and design of such control implementations. It is demonstrated that by virtue of its overall structure, sequence-decomposed GFM control enables simplified analysis eliminating the cross-coupled dynamics characteristic to SCE. Subsequently, comparative analysis is presented between delay based and filter based SCE methods focusing on their impact on small-signal stability. Design guidelines are provided along with supporting experimental evidence using a laboratory inverter prototype. The analysis and experiments demonstrate that delay based sequence component extraction method offer greater stability margins under open-load and loaded GFM operations.
ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2023.3326423