Optimization of EV bus charging schedule by stochastic programming

Tetsuya Sato, Takayuki Shiina, Ryunosuke Hamada

研究成果: Conference contribution

抄録

In recent years, introducing electric vehicle (EV) buses, their charging equipment and infrastructures has become an urgent issue. The purpose of this study is to propose a scheduling model that minimizes the total charging time of EV buses as a makespan using multiple EV buses and chargers, considering fluctuations in the charging time of each EV bus. Generally, directly solving a problem with probabilistic constraints is difficult, thus it often convert into a deterministic equivalent of stochastic program. Therefore, first, this study solved the relaxed problem of deterministic equivalent and assigned each EV bus to each charger using branch and bound (BB) method. Then, it introduced the probabilistic constraints for calculating the exact value of the makespan. The results of numerical experiments demonstrated the effectiveness of this solution.

本文言語English
ホスト出版物のタイトルProceedings - 2022 12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022
編集者Tokuro Matsuo, Kunihiko Takamatsu, Yuichi Ono
出版社Institute of Electrical and Electronics Engineers Inc.
ページ627-632
ページ数6
ISBN(電子版)9781665497558
DOI
出版ステータスPublished - 2022
イベント12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022 - Kanazawa, Japan
継続期間: 2022 7月 22022 7月 7

出版物シリーズ

名前Proceedings - 2022 12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022

Conference

Conference12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022
国/地域Japan
CityKanazawa
Period22/7/222/7/7

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 情報システム
  • 情報システムおよび情報管理
  • 決定科学(その他)

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