| Issue |
E3S Web Conf.
Volume 362, 2022
BuildSim Nordic 2022
|
|
|---|---|---|
| Article Number | 03005 | |
| Number of page(s) | 8 | |
| Section | Users, Tools and Software | |
| DOI | https://doi.org/10.1051/e3sconf/202236203005 | |
| Published online | 01 December 2022 | |
Stochastic load profile generator for residential EV charging
1 SINTEF, Department of Architectural Engineering, Oslo, Norway
2 Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Electric vehicle (EV) charging loads have an impact on the power grid, but also represent a potential for energy flexibility. There is a need for EV data to evaluate effects on the power grid and optimal EV charging strategies. A stochastic bottom-up model is developed for residential EV charging, taking outdoor temperatures into account. The model input is based on real-world data from residential charging in Norway. The load profile generator provides hourly load profiles for any number and combination of small and large EVs, assuming immediate charging after plug-in. It is found that the model generates realistic load profiles for residential EV charging, reflecting today’s charging patterns. Data generated can be used for load and flexibility simulations for residential EV charging.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).
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