Journal article
The opportunity for smart charging to mitigate the impact of electric vehicles on transmission and distribution systems
- Abstract:
- A rapid increase in the number of electric vehicles is expected in coming years, driven by government incentives and falling battery prices. Charging these vehicles will add significant load to the electricity network, and it is important to understand the impact this will have on both the transmission and distribution level systems, and how smart charging can alleviate it. Here we analyse the effects that charging a large electric vehicle fleet would have on the power network, taking into account the spatial heterogeneity of vehicle use, electricity demand, and network structure. A conditional probability based method is used to model uncontrolled charging demand, and convex optimisation is used to model smart charging. Stochasticity is captured using Monte Carlo simulations. It is shown that for Great Britain’s power system, smart charging can simultaneously eliminate the need for additional generation infrastructure required with 100% electric vehicle adoption, while also reducing the percentage of distribution networks which would require reinforcement from 28% to 9%. Discussion is included as to how far these results can be extended to other power systems.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
-
(Preview, Accepted manuscript, pdf, 10.7MB, Terms of use)
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- Publisher copy:
- 10.1016/j.apenergy.2020.114973
Authors
- Publisher:
- Elsevier
- Journal:
- Applied Energy More from this journal
- Volume:
- 268
- Article number:
- 114973
- Publication date:
- 2020-05-07
- Acceptance date:
- 2020-04-03
- DOI:
- EISSN:
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1872-9118
- ISSN:
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0306-2619
- Language:
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English
- Keywords:
- Pubs id:
-
1114906
- Local pid:
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pubs:1114906
- Deposit date:
-
2020-08-24
- ARK identifier:
Terms of use
- Copyright holder:
- Elsevier
- Copyright date:
- 2020
- Rights statement:
- © 2020 Elsevier Ltd. All rights reserved.
- Notes:
- This is the accepted manuscript version of the article, available under the terms of a Creative Commons, Attribution, Non-Commercial, No Derivatives licence. The final version is available online from Elsevier at: https://doi.org/10.1016/j.apenergy.2020.114973
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