Abstract
There are many uncertainties in forecasting the charging and discharging capacity required by electric vehicles (EVs) often as a consequence of stochastic usage and intermittent travel. In terms of large-scale EV integration in future power networks this paper develops a capacity forecasting model which considers eight particular uncertainties in three categories. Using the model, a typical application of EVs to load levelling is presented and exemplified using a UK 2020 case study. The results presented in this paper demonstrate that the proposed model is accurate for charge and discharge prediction and a feasible basis for steady-state analysis required for large-scale EV integration.
Original language | English |
---|---|
Title of host publication | 2015 IEEE Power & Energy Society General Meeting: Proceedings |
DOIs | |
Publication status | Published - 05 Oct 2015 |
Event | IEEE Power & Energy Society General Meeting - Colorado, Denver, United States Duration: 27 Jul 2015 → 31 Jul 2015 http://www.pes-gm.org/2015/ |
Publication series
Name | 2015 IEEE Power & Energy Society General Meeting: Proceedings |
---|---|
Publisher | IEEE |
ISSN (Print) | 1932-5517 |
Conference
Conference | IEEE Power & Energy Society General Meeting |
---|---|
Country/Territory | United States |
City | Denver |
Period | 27/07/2015 → 31/07/2015 |
Internet address |
Keywords
- electric vehicle (EV), capacity forecasting, uncertainty analysis, load levelling