Hui Liu, Yangfan Zhang, Ruizhe Zhang, 等. Analysis of the impact of grid-forming doubly-fed induction generator parameter on transient stability and small-signal stability[J]. 全球能源互联网(英文), 2026,9(3).
Hui Liu, Yangfan Zhang, Ruizhe Zhang, et al. Analysis of the impact of grid-forming doubly-fed induction generator parameter on transient stability and small-signal stability[J]. Global Energy Interconnection, 2026, 9(3).
Hui Liu, Yangfan Zhang, Ruizhe Zhang, 等. Analysis of the impact of grid-forming doubly-fed induction generator parameter on transient stability and small-signal stability[J]. 全球能源互联网(英文), 2026,9(3).DOI: 10.14171/j.2096-5117.gei.2026.03.001.
Hui Liu, Yangfan Zhang, Ruizhe Zhang, et al. Analysis of the impact of grid-forming doubly-fed induction generator parameter on transient stability and small-signal stability[J]. Global Energy Interconnection, 2026, 9(3).DOI: 10.14171/j.2096-5117.gei.2026.03.001.
Analysis of the impact of grid-forming doubly-fed induction generator parameter on transient stability and small-signal stability
The Grid-Forming Doubly-Fed Induction Generator (GFM-DFIG) has attracted considerable attention due to its capabilities in voltage self-regulation and inertia support
although stability concerns persist. Transient stability is mainly governed by grid-forming control
whereas small-signal stability is more affected by both the grid-forming control and the current control loop. This paper offers a thorough investigation into how short-circuit ratio (SCR) and system parameters affect the stability of GFM-DFIG
combining transient stability and small-signal stability analyses. First
a full-order model of the GFM-DFIG is established
followed by a reduced-order transient model. Using the transient model
the transient stability limit voltage(TSLV)under permanent fault conditions is calculated
providing a key benchmark for evaluating the generator’s transient stability. A detailed quantitative analysis is then conducted to explore the effects of SCR and parameter variations on the transient stability boundary.Next
small-signal stability is assessed through eigenvalue trajectories and damping ratios
revealing the impact of various parameters.The findings show that optimizing parameter settings can enhance both transient stability and small-signal stability. Finally
simulations are performed to validate the accuracy of the theoretical analyses.
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相关作者
Tianyu Zhang
Xiangjun Li
Hanning Li
hangyu Sun
Weisen Zhao
Tianming Gu
Puyu Wang
Dingyuan Liu
相关机构
National Key Laboratory of Renewable Energy Grid-Integration China Electric Power Research Institute Beijing
Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University)
School of Automation, Nanjing University of Science and Technology