The Role of Charging Infrastructure in Electric Vehicle Implementation within Smart Grids
Qing Kong,
Michael Fowler,
Evgueniy Entchev,
Hajo Ribberink and
Robert McCallum
Additional contact information
Qing Kong: Department of Chemical Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Michael Fowler: Department of Chemical Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Evgueniy Entchev: CanmetENERGY Research Centre, Ottawa, ON K1A 1M1, Canada
Hajo Ribberink: CanmetENERGY Research Centre, Ottawa, ON K1A 1M1, Canada
Robert McCallum: Wilfrid Laurier University, Waterloo, ON N2L 3C5, Canada
Energies, 2018, vol. 11, issue 12, 1-20
Abstract:
In the integration of electric vehicle (EV) fleets into the smart grid context, charging infrastructure serves as the interlinkage between EV fleets and the power grid and, as such, affects the impacts of EV operation on the smart grid. In this study, the impacts of charging infrastructure on the effectiveness of different EV operational modes were simulated using a multi-component modelling approach, which accounts for both stochastic EV fleet charging behaviors as well as optimal energy vector dispatch operation. Moreover, a campus microgrid case study was presented to demonstrate the various design factors and impacts of charging infrastructure implementation affecting EV fleet adoption and operation. Based on results from the study, it was shown that charging infrastructure should be adopted in excess of the minimum required to satisfy EV charging for driving needs. In addressing uncontrolled charging behaviors, additional charging infrastructure improves EV owner convenience and reduces queuing duration. Meanwhile, controlled charging strategies benefit from increased resilience against uncertain charging behavior and operate more optimally in systems subject to time-of-use (TOU) electricity pricing. Lastly, it was demonstrated that successful vehicle-to-grid (V2G) implementation requires charging infrastructure to emulate the availability and fast response characteristics of stationary energy storage systems, which translates to excess charging port availability, long EV plug-in durations, and bi-directional power flow capabilities well beyond the level 2 charging standard.
Keywords: electric vehicle; smart grid; vehicle-to-grid; controlled charging; optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
https://www.mdpi.com/1996-1073/11/12/3362/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/12/3362/ (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:jeners:v:11:y:2018:i:12:p:3362-:d:186916
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().