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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Vydáno v:	International journal of electrical power & energy systems Ročník 151; s. 109158
Hlavní autoři:	Wu, Huayi, Xu, Zhao, Wang, Minghao, Zhao, Jian, Xu, Xu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.09.2023
Témata:	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
On-line přístup:	Získat plný text
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