Physics-Informed Graph Capsule Generative Autoencoder for Probabilistic AC Optimal Power Flow

Due to the increasing demand for electricity and the inherent uncertainty in power generation, finding efficient solutions to the stochastic alternating current optimal power flow (AC-OPF) problem has become crucial. However, the nonlinear and non-convex nature of AC-OPF, coupled with the growing st...

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Veröffentlicht in:	IEEE transactions on emerging topics in computational intelligence Jg. 8; H. 5; S. 3382 - 3395
Hauptverfasser:	Saffari, Mohsen, Khodayar, Mahdi, Khodayar, Mohammad E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2024
Schlagworte:	AC optimal power flow capsule network dynamic routing Generators graph analysis Heuristic algorithms physics-informed neural network probabilistic estimation Probabilistic logic Reactive power Symmetric matrices Training Transmission line matrix methods
ISSN:	2471-285X, 2471-285X
Online-Zugang:	Volltext
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