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  • 标题:Autonomous Decentralized Control of Distribution Network Voltage using Reinforcement Learning ⁎
  • 本地全文:下载
  • 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
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