Using Graph Neural Networks in Reinforcement Learning With Application to Monte Carlo Simulations in Power System Reliability Analysis

Using Graph Neural Networks in Reinforcement Learning With Application to Monte Carlo Simulations in Power System Reliability Analysis

This paper presents a novel method for power system reliability studies that combines graph neural networks with reinforcement learning. Monte Carlo methods are the backbone of probabilistic power system reliability analyses. Recent efforts from the authors indicate that optimal power flow solvers c...

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Bibliographic Details
Main Authors: Oystein Rognes Solheim, Boye Annfelt Hoverstad, Magnus Korpas
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Reinforcement learning
power systems
graph neural networks
reliability
Monte Carlo simulation
Online Access:https://ieeexplore.ieee.org/document/10735201/
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https://ieeexplore.ieee.org/document/10735201/

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