Dynamic Programming-Based Optimal Charging Scheduling for Electric Vehicles

Kuan Li, Ying Zhang, Chenglie Du, Tao You, Lu Bai, Jiaming Wu

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

The charging scheduling of electric vehicles not only affects the operation of the grid system, but also affects the charging cost of vehicle users. This paper studies the charging scheduling problem of electric vehicles from the user's perspective by considering the grid's as well as the user's needs. On the basis of real-time electricity prices, an electric vehicle charging scheduling system aiming at the lowest charging cost is designed and an optimal charging scheduling method based on dynamic programming is established. In order to reduce the unnecessary computational expenses, this paper optimizes the dynamic programming algorithm, and defines the state transition limit of the dynamic programming search space according to the actual constraints, which reduces the computational complexity. The simulation results show that, on the premise of satisfying the power constraints and user charging demands, the electric vehicles charging scheduling system can effectively reduce the charging cost and time. In addition, the charging process has little impact on the power system from the perspective of grid fluctuation.

源语言英语
主期刊名2022 IEEE 7th International Conference on Intelligent Transportation Engineering, ICITE 2022
出版商Institute of Electrical and Electronics Engineers Inc.
545-550
页数6
ISBN(电子版)9781665460071
DOI
出版状态已出版 - 2022
活动7th IEEE International Conference on Intelligent Transportation Engineering, ICITE 2022 - Beijing, 中国
期限: 11 11月 202213 11月 2022

出版系列

姓名2022 IEEE 7th International Conference on Intelligent Transportation Engineering, ICITE 2022

会议

会议7th IEEE International Conference on Intelligent Transportation Engineering, ICITE 2022
国家/地区中国
Beijing
时期11/11/2213/11/22

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