Enhancing Large Disturbance Stability of Direct Voltage Grid-Forming Converters Through Integration of the Virtual Power Method

Grid-Forming control (GFM) plays an increasingly crucial role in modern power grids by ensuring stability and providing inertia, keeping the voltage waveform steady and preventing rapid changes. One of the main challenges in GFM is that it operates as a voltage source, making current control challenging. Since power electronics converters have limited capacity, managing current limitation becomes critical. To address this, certain types of grid-forming embed a current loop (CCGFM); therefore, limiting the current reference can effectively control the current. Despite its effectiveness, a significant issue arises in post-fault states, where current limitation can decrease the stability margin and restrict synchronization. To overcome this challenge, a virtual power-based method has been proposed, which decouples synchronization angle control from current limitation by employing unsaturated current references for power measurement. While effective, continuous current control has been found to reduce the small-signal stability of the system. This paper presents a novel hybrid architecture of Voltage Control Grid-Forming (VCGFM) that improves stability under large disturbances by incorporating the virtual power approach from CCGFM while taking advantage of the small-signal stability superiority of the classical VCGFM by eliminating the impact of current control during normal operation. The proposed method is further validated through experimental testing.

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Publication Details

Journal
IEEE Journal of Emerging and Selected Topics in Power Electronics
Published
2025-05-27
DOI
https://doi.org/10.1109/jestpe.2025.3574104
Citations
1
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
1.21
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article

Enhancing Large Disturbance Stability of Direct Voltage Grid-Forming Converters Through Integration of the Virtual Power Method

Xavier Legrand, Thibault Prévost, Gilles Torresan, Yorgo Laba et al.
1 citations
IEEE Journal of Emerging and Selected Topics in Power Electronics
Microgrid Control and Optimization
1.21
article

Enhancing Large Disturbance Stability of Direct Voltage Grid-Forming Converters Through Integration of the Virtual Power Method

Xavier Legrand, Thibault Prévost, Gilles Torresan, Yorgo Laba, Antoine Bruyère, Frédéric Colas, Xavier Guillaud
article en
1 citations

Abstract

Grid-Forming control (GFM) plays an increasingly crucial role in modern power grids by ensuring stability and providing inertia, keeping the voltage waveform steady and preventing rapid changes. One of the main challenges in GFM is that it operates as a voltage source, making current control challenging. Since power electronics converters have limited capacity, managing current limitation becomes critical. To address this, certain types of grid-forming embed a current loop (CCGFM); therefore, limiting the current reference can effectively control the current. Despite its effectiveness, a significant issue arises in post-fault states, where current limitation can decrease the stability margin and restrict synchronization. To overcome this challenge, a virtual power-based method has been proposed, which decouples synchronization angle control from current limitation by employing unsaturated current references for power measurement. While effective, continuous current control has been found to reduce the small-signal stability of the system. This paper presents a novel hybrid architecture of Voltage Control Grid-Forming (VCGFM) that improves stability under large disturbances by incorporating the virtual power approach from CCGFM while taking advantage of the small-signal stability superiority of the classical VCGFM by eliminating the impact of current control during normal operation. The proposed method is further validated through experimental testing.

IEEE Journal of Emerging and Selected Topics in Power ElectronicsVol. 13(5)
Arts et Métiers (FR), Université de Lille (FR), Transport Research Laboratory (United Kingdom) (GB), Recordati (France) (FR), École Centrale de Lille (FR)
Affordable and clean energy
Openalex Percentile: Top 21%
Microgrid Control and Optimization
1.21
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