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, we generate travel and plug-in behaviors by using a Monte Carlo approach to derive CFs. By vary...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on transportation electrification Vol. 8; no. 1; pp. 808 - 819
Main Authors Bollerslev, Jacob, Andersen, Peter Bach, Jensen, Tue Vissing, Marinelli, Mattia, Thingvad, Andreas, Calearo, Lisa, Weckesser, Tilman
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.03.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Batteries
Behavior
Charging simultaneity
coincidence factor (CF)
Electric vehicle charging
Electric vehicles
electric vehicles (EVs)
Load modeling
Plugs
power system analysis
Sensitivity
State of charge
system analysis and design
Systematics
Trip surveys
Uncertainty
vehicle–grid integration
Online AccessGet full text

Cover

More Information
Summary: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, we 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.
ISSN:2332-7782
2577-4212
2332-7782
DOI:10.1109/TTE.2021.3088275