Adaptive power and virtual resistance cooperation control strategy of VSG-based GFM converters for grid transient stability enhancement[J]. 全球能源互联网(英文), 2026,9(3).
Adaptive power and virtual resistance cooperation control strategy of VSG-based GFM converters for grid transient stability enhancement[J]. Global Energy Interconnection, 2026, 9(3).
Adaptive power and virtual resistance cooperation control strategy of VSG-based GFM converters for grid transient stability enhancement[J]. 全球能源互联网(英文), 2026,9(3).DOI: 10.14171/j.2096-5117.gei.2026.03.012.
Adaptive power and virtual resistance cooperation control strategy of VSG-based GFM converters for grid transient stability enhancement[J]. Global Energy Interconnection, 2026, 9(3).DOI: 10.14171/j.2096-5117.gei.2026.03.012.
Adaptive power and virtual resistance cooperation control strategy of VSG-based GFM converters for grid transient stability enhancement
With the increasing penetration level of renewable energy sources (RES) interfaced with the grids by power electronic converters
the grid forming (GFM) control of converters is recognized as one of the promising solutions in dealing with challenges such as grid transient stability enhancement required for future power electronic converter-dominated power grids. However
the physical nature of the limited overcurrent capability of GFM converter constrains its application including grid transient stability enhancement during grid faults. To address this problem
this paper first analyzes the mechanism of grid transient stability and overcurrent of GFM converter during grid faults.Then
an adaptive power and virtual resistance cooperation control strategy of VSG-based GFM converter for grid transient stability enhancement is proposed
which can suppress the overcurrent of the GFM converter and enhance the grid transient stability simultaneously during grid faults. Meanwhile
a detailed quantitative analysis of parameter tuning of the proposed control is conducted
ensuring the robustness of the proposed control strategy in different fault depths and fault duration times. Finally
case studies are simulated in the PSCAD/EMTDC software to verify the effectiveness of the proposed control strategy.
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