A Comprehensive Analysis of PINNs for Power System Transient Stability
Ignacio de Cominges Guerra,
Wenting Li,
Ren Wang
Abstract:The integration of machine learning in power systems, particularly in stability and dynamics, addresses the challenges brought by the integration of renewable energies and distributed energy resources (DERs). Traditional methods for power system transient stability, involving solving differential equations with computational techniques, face limitations due to their time-consuming and computationally demanding nature. This paper introduces physics-informed Neural Networks (PINNs) as a promising solution for th… Show more
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