跳到主要导航 跳到搜索 跳到主要内容

A charging scheduling system for electric vehicles using vehicle-To-grid

  • Nicklas K. Breum
  • , Martin N. Joergensen
  • , Christian A. Knudsen
  • , Laerke B. Kristensen
  • , Bin Yang
  • Aalborg University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

With the rise of sustainable energy sources, such as wind power, the energy production, and thus the energy price, fluctuates. Meanwhile, we are witnessing an increasing amount of electric vehicles, which soon will represent a substantial fraction of the electricity demand. Under this setting, the so-called vehicle-To-grid technology, which enables electric vehicles to sell electricity back to the power grid, appears to be an effective mean to reduce the charging costs for electric vehicles. We demonstrate a system that makes optimal scheduling for electric vehicle fleet owners using vehicle-To-grid. The principle of the scheduling is to charge electric vehicles when electricity is cheap and sell electricity back to the power grid when it is expensive, while making sure that the electric vehicles are sufficiently charged when they need to be used, e.g., 8 am in the morning. The system is integrated as part of aSTEP, a spatio-Temporal data analytics platform developed at Aalborg University. In collaboration with a transportation-As-A-service company in Denmark, the system is tested through a use case that involves an electric vehicle fleet.

源语言英语
主期刊名Proceedings - 2019 20th International Conference on Mobile Data Management, MDM 2019
出版商Institute of Electrical and Electronics Engineers Inc.
351-352
页数2
ISBN(电子版)9781728133638
DOI
出版状态已出版 - 6月 2019
已对外发布
活动20th IEEE International Conference on Mobile Data Management, MDM 2019 - Hong Kong, 香港
期限: 10 6月 201913 6月 2019

丛书

姓名Proceedings - IEEE International Conference on Mobile Data Management
2019-June
ISSN(电子版)2375-0324

会议

会议20th IEEE International Conference on Mobile Data Management, MDM 2019
国家/地区香港
Hong Kong
时期10/06/1913/06/19

学术指纹

探究 'A charging scheduling system for electric vehicles using vehicle-To-grid' 的科研主题。它们共同构成独一无二的学术指纹。

引用此