Imperial College London
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Dr Salvador Acha

Faculty of Engineering, Department of Chemical Engineering

Senior Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 3379salvador.acha Website CV

 
 
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Location

 

453AACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Acha:2011:10.1109/ISGT.2011.5759128,
author = {Acha, S and Green, TC and Shah, N},
doi = {10.1109/ISGT.2011.5759128},
pages = {1--8},
publisher = {IEEE},
title = {Optimal charging strategies of electric vehicles in the UK power market},
url = {http://dx.doi.org/10.1109/ISGT.2011.5759128},
year = {2011}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - In order to gain the most from their deployment, it is imperative for stakeholders to exploit the main benefits electric vehicles bring to utilities. Therefore, this paper focuses on the aspects required to model the management of electricity supply for electric vehicles. The framework presented details a time coordinated optimal power flow (TCOPF) tool to illustrate the tradeoffs distribution network operators (DNO) might encounter when implementing various load control approaches of electric vehicles. Within an UK context, a case study is performed where the TCOPF tool functions as the intermediary entity that coordinates cost-effective interactions between power markets, network operators, and the plugged vehicles. Results depict the stochastic but optimal charging patterns stakeholders might visualise from electric vehicles in local networks as they are operated to reduce energy and emission costs. Furthermore, results show current emission costs have a negligible weight in the optimisation process when compared to wholesale electricity costs.
AU  - Acha,S
AU  - Green,TC
AU  - Shah,N
DO  - 10.1109/ISGT.2011.5759128
EP  - 8
PB  - IEEE
PY  - 2011///
SP  - 1
TI  - Optimal charging strategies of electric vehicles in the UK power market
UR  - http://dx.doi.org/10.1109/ISGT.2011.5759128
UR  - http://hdl.handle.net/10044/1/38832
ER  -
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