Optimal Power Flow for High Spatial and Temporal Resolution Power Systems with High Renewable Energy Penetration Using Multi-Agent Deep Reinforcement Learning

Optimal Power Flow for High Spatial and Temporal Resolution Power Systems with High Renewable Energy Penetration Using Multi-Agent Deep Reinforcement Learning

The increasing integration of renewable energy sources (RESs) introduces significant uncertainties in both generation and demand, presenting critical challenges to the convergence, feasibility, and real-time performance of optimal power flow (OPF). To address these challenges, a multi-agent deep rei...

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Bibliographic Details
Main Authors: Liangcai Zhou, Long Huo, Linlin Liu, Hao Xu, Rui Chen, Xin Chen
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Energies
Subjects:
multi-agent reinforcement learning
optimal power flow
graph neural network
renewable energy source
Online Access:https://www.mdpi.com/1996-1073/18/7/1809
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