Multi-objective scheduling of electric car charging jobs based on fuzzy goal programming

Longsheng Cai*, Xuecong Zeng, Tomohiro Murata

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Rapid development of electric cars has raised a problem of charging batteries of them. As for the owner of the charging machines, how to make the charging jobs' schedule more efficient and more profitable is worthy of concern. Both cost related goals and operation related goals are expected to be satisfied simultaneously. This paper considered a single-machine charging job scheduling problem and proposed a fuzzy goal programming method to get an optimized cost and operational result by considering the different charging cost brought by Time-of-use price mechanism and the characteristic of batteries, which affects the charging process time, charging efficiency and charging unit power consumption. In the proposed method, a fuzzy relation model is developed to deal with the multi-objective situation to satisfy various goals, by considering the importance relation between goals. The intention of the decision maker is satisfied well. The decision maker can control the parameter to balance the emphasis on goals or on relations according to variety of manage policy. A numerical example is given to illustrate the effectiveness of the proposed method.

本文言語English
ホスト出版物のタイトル2012 IEEE International Conference on Automation and Logistics, ICAL 2012
ページ222-227
ページ数6
DOI
出版ステータスPublished - 2012 11月 1
イベント2012 IEEE International Conference on Automation and Logistics, ICAL 2012 - Zhengzhou, China
継続期間: 2012 8月 152012 8月 17

出版物シリーズ

名前IEEE International Conference on Automation and Logistics, ICAL
ISSN(印刷版)2161-8151

Conference

Conference2012 IEEE International Conference on Automation and Logistics, ICAL 2012
国/地域China
CityZhengzhou
Period12/8/1512/8/17

ASJC Scopus subject areas

  • 制御およびシステム工学

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