Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 1073-1076 |
| Number of pages | 4 |
| Journal | CIRED - Open Access Proceedings Journal |
| Volume | 2017 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Oct 2017 |
Cite this
Electric vehicles and low voltage grid: impact of uncontrolled demand side response. / Hattam, Laura; Greetham, Danica Vukadinovic; Haben, Stephen; Roberts, David.
In: CIRED - Open Access Proceedings Journal, Vol. 2017, No. 1, 01.10.2017, p. 1073-1076.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Electric vehicles and low voltage grid: impact of uncontrolled demand side response
AU - Hattam, Laura
AU - Greetham, Danica Vukadinovic
AU - Haben, Stephen
AU - Roberts, David
PY - 2017/10/1
Y1 - 2017/10/1
N2 - The authors are looking at the impact of electric vehicles (EV) charging from low-voltage (LV) networks. Based on the data obtained from two different pilot projects: (i) Mini-E trial where EV users were incentivised to charge during the night; (ii) My Electric Avenue trial, where there were no similar incentives, authors want to quantify the impact of EV charging, presuming that the number of home-charging EV users will increase significantly in the near future. By assuming that the current load at individual household level is known or inferred, simulations are performed to estimate the future load. The authors look at different percentages of EV uptake and model clustered scenarios, where the social networking effect is imposed – users adopt an EV with a higher probability if their neighbour already has one. Simulations demonstrate that incentivising night-time charging can create large new peaks during the night, which could have negative effects on LV networks. On the other hand, simulations based on the data with no incentives shows that naturally occurring diversity in charging behaviour does not automatically result in comparable network stress at the same penetrations.
AB - The authors are looking at the impact of electric vehicles (EV) charging from low-voltage (LV) networks. Based on the data obtained from two different pilot projects: (i) Mini-E trial where EV users were incentivised to charge during the night; (ii) My Electric Avenue trial, where there were no similar incentives, authors want to quantify the impact of EV charging, presuming that the number of home-charging EV users will increase significantly in the near future. By assuming that the current load at individual household level is known or inferred, simulations are performed to estimate the future load. The authors look at different percentages of EV uptake and model clustered scenarios, where the social networking effect is imposed – users adopt an EV with a higher probability if their neighbour already has one. Simulations demonstrate that incentivising night-time charging can create large new peaks during the night, which could have negative effects on LV networks. On the other hand, simulations based on the data with no incentives shows that naturally occurring diversity in charging behaviour does not automatically result in comparable network stress at the same penetrations.
U2 - 10.1049/oap-cired.2017.0651
DO - 10.1049/oap-cired.2017.0651
M3 - Article
VL - 2017
SP - 1073
EP - 1076
JO - CIRED - Open Access Proceedings Journal
JF - CIRED - Open Access Proceedings Journal
SN - 2515-0855
IS - 1
ER -