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  • 标题:Non-cooperative Optimization of Charging Scheduling for Electric Vehicle via Stackelberg Game and Matching Theory
  • 本地全文:下载
  • 作者:Miyu Yoshihara ; Toru Namerikawa
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:17029-17034
  • DOI:10.1016/j.ifacol.2020.12.1522
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, we deal with the charging scheduling optimization problem of electric vehicle in highway via Stackelberg game and matching theory. At first, we propose an algorithm for electric vehicle allocation to charging station which aims to uniformize waiting time of each charging station. In addition, we present energy demand and price decision problem and solve it using Stackelberg game. We compare Stackelberg equilibrium point and Nash equilibrium point and confirm Stackelberg game provide bigger benefit to charging station. Finally, we show validation of proposed algorithm via numerical simulations.
  • 关键词:KeywordsCharging schedulingelectric vehiclematching theorygame theory
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