Coincidence Factors for Domestic EV Charging From Driving and Plug-In Behavior
This study models the coincidence factor (CF) of electric vehicle (EV) charging given driving and plug-in behaviors by combining data sources from travel surveys and recorded EV charging data. From these, the authors generate travel and plug-in behaviors by using a Monte Carlo approach to derive CFs. By varying the EV battery size, the rated charging power, and the plug-in behavior, their influence on the CF is examined. The key results show that the CF decreases to less than 25% when considering more than 50 EVs with a charging level of 11 kW, with the CF strongly depending on the number of EVs considered. By contrast, the driving behavior and the battery size have a minor influence on the CF. Furthermore, when mixing the parameters, such as EV battery size and rated charging power, then, especially, the active power drawn by the feeder does not change linearly. Ultimately, the study aims to add to the state-of-the-art by solely and systematically focusing on the CF and its sensitivity to a number of key factors. For planning and design, distribution system operators may use this study as a part of their planning for the integration of electric vehicles in the electrical grid.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23327782
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Supplemental Notes:
- Copyright © 2022, IEEE.
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Authors:
- Bollerslev, Jacob
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0000-0002-7358-9042
- Andersen, Peter Bach
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0000-0002-5202-3584
- Jensen, Tue Vissing
- Marinelli, Mattia
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0000-0001-5184-7269
- Thingvad, Andreas
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0000-0003-3464-4739
- Calearo, Lisa
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0000-0002-3692-4729
- Weckesser, Tilman
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0000-0002-7541-2283
- Publication Date: 2022-3
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 808-819
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Serial:
- IEEE Transactions on Transportation Electrification
- Volume: 8
- Issue Number: 1
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 2332-7782
- Serial URL: http://ieeexplore.ieee.org/servlet/opac?punumber=6687316
Subject/Index Terms
- TRT Terms: Automobile driving; Electric batteries; Electric vehicle charging; Electric vehicles; Grids (Transmission lines); Monte Carlo method
- Subject Areas: Energy; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01845770
- Record Type: Publication
- Files: TRIS
- Created Date: May 19 2022 10:41AM