Multistage time-variant electric vehicle load modelling for capturing accurate electric vehicle behaviour and electric vehicle impact on electricity distribution grids
Article
Article Title | Multistage time-variant electric vehicle load modelling for capturing accurate electric vehicle behaviour and electric vehicle impact on electricity distribution grids |
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ERA Journal ID | 4574 |
Article Category | Article |
Authors | Haidar, Ahmed M. A. (Author), Muttaqi, Kashem M. (Author) and Haque, Mohammed H. (Author) |
Journal Title | IET Generation, Transmission and Distribution |
Journal Citation | 9 (16), pp. 2705-2716 |
Number of Pages | 12 |
Year | 2015 |
Place of Publication | United Kingdom |
ISSN | 1350-2360 |
1751-8687 | |
1751-8695 | |
Digital Object Identifier (DOI) | https://doi.org/10.1049/iet-gtd.2014.1019 |
Web Address (URL) | https://mr.crossref.org/iPage?doi=10.1049%2Fiet-gtd.2014.1019 |
Abstract | Accurate electric vehicle (EV) load modelling is a daunting task because the proportion and characteristics of these extra electrical loads in the grids are continuously changing. In many recent EV studies, EV load is assumed to be a constant power load to analyse the effect of EV charging on electric network. However, such an assumption would not be effective in real-time application and can give misleading results. This study proposes a multistage time-variant EV load modelling technique based on the characteristics of EV load demand due to EV battery charging. To capture the transitions between different stages of battery charging, the EV loads are modelled with a multistage |
Keywords | electric vehicle; electricity distribution grids; EV load modeling; EV charging; electronic vehicle charging; eletronic vehicle impact |
ANZSRC Field of Research 2020 | 400899. Electrical engineering not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Wollongong |
University of South Australia | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3x2v/multistage-time-variant-electric-vehicle-load-modelling-for-capturing-accurate-electric-vehicle-behaviour-and-electric-vehicle-impact-on-electricity-distribution-grids
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