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Volume 2017,
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Electric vehicles and low-voltage grid: impact of uncontrolled demand side response
- Author(s): Laura Hattam 1 ; Danica Vukadinovic Greetham 1 ; Stephen Haben 2 ; David Roberts 3
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View affiliations
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Affiliations:
1:
Centre for the Mathematics of Human Behaviour, Department of Mathematics and Statistics, University of Reading , Whiteknights, Reading , UK ;
2: Mathematical Institute, University of Oxford , Oxford, UK ;
3: EA Technology, Smart Interventions , Chester, UK
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Affiliations:
1:
Centre for the Mathematics of Human Behaviour, Department of Mathematics and Statistics, University of Reading , Whiteknights, Reading , UK ;
- Source:
Volume 2017, Issue 1,
October
2017,
p.
1073 – 1076
DOI: 10.1049/oap-cired.2017.0651 , Online ISSN 2515-0855
This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Published
01/10/2017
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Inspec keywords: electric vehicle charging; power grids; demand side management; probability; load regulation
Other keywords: network stress; My Electric Avenue trial; future load estimation; charging behaviour; social networking effect; low-voltage grid; home-charging EV users; night-time charging; uncontrolled demand side response impact; low-voltage networks; probability; LV networks; Mini-E trial; electric vehicles
Subjects: Other topics in statistics; Power system management, operation and economics; Other topics in statistics; Transportation; Control of electric power systems
References
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5. Mullan, J., Harries, D., Braunl, T., et al: ‘Modelling the impacts of electric vehicle recharging on the Western Australian electricity supply system’, Energy Policy, 2011, 39, pp. 4349–4359 (doi: 10.1016/j.enpol.2011.04.052).
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2)
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5. Poghosyan, A., Vukadinovic Greetham, D., Haben, S., et al ‘Long term individual load forecast under different electrical vehicles uptake scenarios’, Appl. Energy, 2015, 157, pp. 699–709 (doi: 10.1016/j.apenergy.2015.02.069).
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6. Hattam, L., Vukadinovic Greetham, D. ‘Green neighbourhoods in low voltage networks: measuring impact of electric vehicles and photovoltaics on load profiles’, J. Mod. Power Syst. Clean Energy, 2016, 5, 1, pp. 105–116, (doi: 10.1007/s40565-016-0253-0).
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4)
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7. Giasemidis, G., Haben, S., Lee, T., et al: ‘A genetic algorithm approach for modelling low voltage network demands’, 2016, arXiv preprint arXiv: 1612.0683.
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5)
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2. Yong, J.Y., Ramachandaramurthy, V.K., Tan, K.M., et al: ‘A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects’, Renew. Sustain. Energy Rev., 2015, 49, pp. 365–385 (doi: 10.1016/j.rser.2015.04.130).
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6)
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1. Liu, M., McNamara, P., Shorten, R., et al: ‘Residential electrical vehicle charging strategies: the good, the bad and the ugly’, J. Mod. Power Syst. Clean Energy, 2015, 3, (2), pp. 190–202 (doi: 10.1007/s40565-015-0122-2).
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4. Navarro-Espinosa, A., Ochoa, L.F., ‘Probabilistic impact assessment of low carbon technologies in LV distribution systems’, IEEE Trans. Power Syst., 2016, 31, (3), pp. 2192–2203 (doi: 10.1109/TPWRS.2015.2448663).
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