Electric vehicle capacity forecasting model with application to load levelling
Data(s) |
01/07/2015
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Resumo |
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. |
Identificador | |
Idioma(s) |
eng |
Direitos |
info:eu-repo/semantics/restrictedAccess |
Fonte |
Zhou , B , Littler , T & Foley , A 2015 , ' Electric vehicle capacity forecasting model with application to load levelling ' Paper presented at IEEE Power & Energy Society General Meeting , Denver , United States , 27/07/2015 - 31/07/2015 , . |
Palavras-Chave | #electric vehicle (EV), capacity forecasting, uncertainty analysis, load levelling |
Tipo |
conferenceObject |