Imperial College London
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Dr Koen H. van Dam

Faculty of Engineering, Department of Chemical Engineering

Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 5705k.van-dam Website

 
 
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Location

 

453AACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Acha:2012:10.1109/PESGM.2012.6345579,
author = {Acha, S and van, Dam KH and Shah, N},
doi = {10.1109/PESGM.2012.6345579},
pages = {1--8},
publisher = {IEEE},
title = {Modelling spatial and temporal agent travel patterns for optimal charging of electric vehicles in low carbon networks},
url = {http://dx.doi.org/10.1109/PESGM.2012.6345579},
year = {2012}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - 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.
AU  - Acha,S
AU  - van,Dam KH
AU  - Shah,N
DO  - 10.1109/PESGM.2012.6345579
EP  - 8
PB  - IEEE
PY  - 2012///
SP  - 1
TI  - Modelling spatial and temporal agent travel patterns for optimal charging of electric vehicles in low carbon networks
UR  - http://dx.doi.org/10.1109/PESGM.2012.6345579
UR  - http://hdl.handle.net/10044/1/38830
ER  -
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