A Graph Deep Reinforcement Learning-Based Fault Restoration Method for Active Distribution Networks

The topology of distribution networks changes frequently, and the uncertainty of load level and distributed generator (DG) output makes the operation scenarios more complex and variable. Based on this, a fault recovery method for active distribution networks based on graph-based deep reinforcement l...

詳細記述

書誌詳細

出版年:	Energies
主要な著者:	Yangqing Dan, Hui Zhong, Chenxuan Wang, Jun Wang, Yanan Fei, Le Yu
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2025-08-01
主題:	active distribution network distribution generator fault recovery graph attention network soft actor–critic invalid action masking
オンライン･アクセス:	https://www.mdpi.com/1996-1073/18/16/4420