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

Content Provider	IEEE Xplore Digital Library
Author	Longsheng Cai Xuecong Zeng Murata, T.
Copyright Year	2012
Description	Author affiliation: Graduate School of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0135, Japan (Longsheng Cai; Xuecong Zeng; Murata, T.)
Abstract	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.
Starting Page	222
Ending Page	227
File Size	1213530
Page Count	6
File Format	PDF
ISBN	9781467303620
ISSN	21618151
e-ISBN	9781467303644
e-ISBN	9781467303637
DOI	10.1109/ICAL.2012.6308201
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	fuzzy goal programming Power demand Electricity Lead Programming Throughput multi-objective scheduling electric car charging Batteries
Content Type	Text
Resource Type	Article

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