Non-cooperative Optimization of Charging Scheduling for Electric Vehicle via Stackelberg Game and Matching Theory

Miyu Yoshihara, Toru Namerikawa

研究成果: Conference article査読

抄録

In 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.

本文言語English
ページ(範囲)17029-17034
ページ数6
ジャーナルIFAC-PapersOnLine
53
2
DOI
出版ステータスPublished - 2020
イベント21st IFAC World Congress 2020 - Berlin, Germany
継続期間: 2020 7月 122020 7月 17

ASJC Scopus subject areas

  • 制御およびシステム工学

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