The Benefits of Randomly Delayed Charging of Electric Vehicles

Georg Jäger, Christian Hofer and Manfred Füllsack
Additional contact information
Georg Jäger: Institute of Systems Sciences, Innovation and Sustainability Research, University of Graz, Graz 8010, Austria
Christian Hofer: Information Technologies & Business Informatics, CAMPUS 02 University of Applied Sciences, Graz 8010, Austria
Manfred Füllsack: Institute of Systems Sciences, Innovation and Sustainability Research, University of Graz, Graz 8010, Austria

Sustainability, 2019, vol. 11, issue 13, 1-11

Abstract: The increasing use of electric vehicles, combined with the trend of higher charging currents, puts a significant strain on the electrical grid. Many solutions to this problem are being discussed, some relying on some form of smart grid, others proposing stricter regulations concerning charging electric vehicles. In this study, a different approach, called randomly delayed charging, is explored. The main idea is to charge a battery over night, but instead of starting the charging process as soon as possible, introduce a random delay, satisfying the boundary condition that the battery is sufficiently charged in the morning. Benefits of this technique are investigated by using an agent-based simulation that simulates commuters and calculates the electricity demand with temporal resolution. Results suggest that randomly delayed charging can have a significant effect on peak load caused by charging and that this benefit increases the higher the used charging current is. Randomly delayed charging can be a viable option for reducing the peak electricity demand that is caused by charging electric vehicles.

Keywords: electric vehicles; charging; electric grid; peak demand; randomly delayed charging; agent-based model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/11/13/3722/pdf (application/pdf)
https://www.mdpi.com/2071-1050/11/13/3722/ (text/html)

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:gam:jsusta:v:11:y:2019:i:13:p:3722-:d:246505

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().