A diffusion-based generative ML paradigm is introduced to proactively generate and rank high-risk contingencies for voltage stability using physical information from operating points, with experiments on IEEE-6 to IEEE-118 systems.
V oltage stability of power systems: Concepts, analytical tools, and industry experience,
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A Diffusion-based Generative Machine Learning Paradigm for Dynamic Contingency Screening
A diffusion-based generative ML paradigm is introduced to proactively generate and rank high-risk contingencies for voltage stability using physical information from operating points, with experiments on IEEE-6 to IEEE-118 systems.