Abstract
This paper presents a multi agent-based simulation framework for modeling spatial distribution of plug-in hybrid electric vehicle ownership at local residential level, discovering " plug-in hybrid electric vehicle hot zones" where ownership may quickly increase in the near future, and estimating the impacts of the increasing plug-in hybrid electric vehicle ownership on the local electric distribution network with different charging strategies. We use Knox County, Tennessee as a case study to highlight the simulation results of the agent-based simulation framework.
| Original language | English |
|---|---|
| Pages (from-to) | 548-554 |
| Number of pages | 7 |
| Journal | Transportation Research Part D: Transport and Environment |
| Volume | 17 |
| Issue number | 7 |
| DOIs | |
| State | Published - Oct 2012 |
Funding
This research was sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory (ORNL), managed by UT-Battelle, LLC for the US Department of Energy under Contract No. DE-AC05-00OR22725. This paper has been authored by employees of UT-Battelle, LLC, under Contract DE-AC05-00OR22725 with the US Department of Energy. Accordingly, the US Government retains and the publisher, by accepting the article for publication, acknowledges that the US Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US Government purposes.
| Funders | Funder number |
|---|---|
| US Department of Energy | DE-AC05-00OR22725 |
| UT-Battelle | |
| Oak Ridge National Laboratory |
Keywords
- Electric distribution network
- Plug-in hybrid electric vehicles
- Transportation and energy technology
