期刊
4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH
卷 15, 期 2, 页码 163-181出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s10288-016-0328-9
关键词
Electric vehicles; Battery charging; Scheduling; Slack-first heuristics; Linear programming
资金
- POFC (Programa Operacional Factores de Competitividade) within the National Strategic Reference Framework (QREN) [2012/023192, 30262]
- Centre for Mathematics of the University of Coimbra [UID/MAT/00324/2013]
- Portuguese Government through FCT/MEC
- European Regional Development Fund
In this paper, we study the problem of establishing a dynamic charging schedule of electric vehicles (EVs) at a charging station, assuming that limited power implies that only a limited number of EVs can charge simultaneously. The only control we assume to be available to the charging station is the ability to (at any given time) turn on or off the power supply to any EV, with this tool we want to develop a charging schedule that will satisfy the energy demands of the EVs in their intended deadlines. We propose two distinct approaches to this problem: a discretized time version, based on a greedy-like algorithm, and a continuous time version, based on linear programming. We compare these two approaches and numerically study the improvement they yield in the efficiency of the charging procedure, when applied to simulated data based on real parking data. Finally, we illustrate the flexibility of the models by sketching several possible extensions.
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