Modelling spatial and temporal agent travel patterns for optimal charging of electric vehicles in low carbon networks
File(s)
Accepted version
Author(s)
Acha, S
van Dam, KH
Shah, N
Type
Conference Paper
Abstract
The ability to determine optimal charging profiles of electric vehicles (EVs) is paramount in developing an efficient and reliable smart-grid. However, so far the level of analysis proposed to address this issue lacks combined spatial and temporal elements, thus making mobility a key challenge to address for a proper representation of this problem. This paper details the principles applied to represent optimal charging of EVs by employing an agent-based model that simulates the travelling patterns of vehicles on a road network. The output data is used as a reliable forecast so an optimal power flow model can devise optimal charging scenarios of EVs in a local electrical network. The effectiveness of the model is illustrated by presenting a multi-day case study in an urban area. Results show a high level of detail and variability in EV charging when a present-day carbon fuel mix is compared to one with lower carbon intensity.
Date Issued
2012-07-22
Date Acceptance
2012-01-01
Citation
Proceedings of the 2012 IEEE Power and Energy Society General Meeting, 2012, pp.1-8
Publisher
IEEE
Start Page
1
End Page
8
Journal / Book Title
Proceedings of the 2012 IEEE Power and Energy Society General Meeting
Copyright Statement
© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
BP International Limited
Engineering & Physical Science Research Council (EPSRC)
Grant Number
BPI/PAT/SH/50046
EP/I038837/1
Source
2012 IEEE Power and Energy Society General Meeting
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Agent based transport modelling
coordination of distributed energy resources
distribution network operation
electric vehicle charging
local smart-grids
optimal power flow
Publication Status
Published
Start Date
2012-07-22
Finish Date
2012-07-26
Coverage Spatial
San Diego, CA, USA