文章基本信息

标题：Autonomous Decentralized Control of Distribution Network Voltage using Reinforcement Learning ⁎
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作者：Satoshi Takayama ; Atsushi Ishigame
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：28
页码：209-214
DOI：10.1016/j.ifacol.2018.11.703
语种：English
出版社：Elsevier
摘要：AbstractRecently, power flow patterns in distribution network has considerably modified due to a large amount of PV installation and increase of consumers behavior patterns. Hence, a system operator has become difficult to control voltage by the conventional method. As a countermeasure of this problem, the reactive power control method with the PV inverters has been reported. In this paper, we proposed a new voltage control method with reactive control of PV inverters using reinforcement learning. In particular, the purpose of proposed method is to bring out the cooperative reactive power control without the information between PV inverters. We verify the effectiveness of proposed method through computational simulation using distribution network model.
关键词：KeywordsVoltage controlDistribution networkReactive powerInvertersMachine learning