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eess.SY2026
Intelligent Domain Adaptation for Power System Transient Stability Assessment Under Varying Operating Scenarios
Yuan Yang, Lipeng Zhu, Chao Deng +3
While deep learning-based transient stability assessment (TSA) approaches have exhibited great potential in power system stability monitoring, they are prone to undergo performance…
eess.SY2026
Impedance Modeling and Stability Analysis of Droop-Controlled Inverter Under Unbalanced Power Grid Operating Conditions
Qiang Zeng, Lipeng Zhu, Yang Li +6
With the growing integration of renewable energy sources into power grids, the risks of oscillation caused by interactions between grid-tied inverters and the grids are becoming in…
eess.SY2026★ 2 cited
Adaptive Spatial-Temporal Graph Learning-Enabled Short-Term Voltage Stability Assessment against Time-Varying Topological Conditions
Chao Deng, Lipeng Zhu, Chang Liu +5
The emerging deep learning (DL) technology has recently exhibited great potential in data-driven short-term voltage stability (SVS) assessment of complex power grids. However, with…