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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Vydané v:	IEEE transactions on emerging topics in computational intelligence Ročník 8; číslo 5; s. 3382 - 3395
Hlavní autori:	Saffari, Mohsen, Khodayar, Mahdi, Khodayar, Mohammad E.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2024
Predmet:	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
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