Two-stage voltage regulation in power distribution system using graph convolutional network-based deep reinforcement learning in real time

•A two-stage voltage regulation framework is proposed to alleviate voltage violations.•A mixed-integer second order cone optimization programming (MISOCP) model is proposed for day-head hourly voltage regulation.•A graph reinforcement learning (GRL) method is novelty proposed for intraday voltage re...

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Veröffentlicht in:	International journal of electrical power & energy systems Jg. 151; S. 109158
Hauptverfasser:	Wu, Huayi, Xu, Zhao, Wang, Minghao, Zhao, Jian, Xu, Xu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2023
Schlagworte:	Deep deterministic policy gradient Graph convolutional network Reinforcement learning Renewable energy Voltage regulation Deep deterministic policy gradient Graph convolutional network Renewable energy Voltage regulation Reinforcement learning
ISSN:	0142-0615, 1879-3517
Online-Zugang:	Volltext
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