Real-Time Planning for Smart Charging of Electric Vehicle Fleets
Oliver Frendo () and
Nadine Gaertner ()
Additional contact information
Oliver Frendo: SAP SE
Nadine Gaertner: SAP SE
A chapter in Operations Research Proceedings 2018, 2019, pp 531-537 from Springer
Abstract:
Abstract Numbers of electric vehicles (EVs) are increasing, but undersized connection lines and a lack of charging stations limit how many can be charged concurrently. When this limitation is combined with peaking power demands there is a clear need for smart charging. We present a two-step approach for smart charging that considers phase-wise power assignment. First, a mixed integer linear programming model is used for day-ahead planning. Resulting charging schedules are then used as input for a proposed schedule guided heuristic for real-time planning. Experimental results from simulations show improved fair share among EVs and reduced energy costs.
Keywords: Scheduling; Smart charging; Mobility (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-030-18500-8_66
Ordering information: This item can be ordered from
http://www.springer.com/9783030185008
DOI: 10.1007/978-3-030-18500-8_66
Access Statistics for this chapter
More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().