Stochastic load profile generator for residential EV charging

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, t...

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Main Authors: Sørensen Åse Lekang, Westad Maria Claire, Delgado Benjamín Manrique, Lindberg Karen Byskov
Format: Article
Language:English
Published: EDP Sciences 2022-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/29/e3sconf_bsn2022_03005.pdf
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author Sørensen Åse Lekang
Westad Maria Claire
Delgado Benjamín Manrique
Lindberg Karen Byskov
author_facet Sørensen Åse Lekang
Westad Maria Claire
Delgado Benjamín Manrique
Lindberg Karen Byskov
author_sort Sørensen Åse Lekang
collection DOAJ
description 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.
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spelling doaj.art-d8dee019076b4aacb28822bdd321953e2022-12-22T04:21:10ZengEDP SciencesE3S Web of Conferences2267-12422022-01-013620300510.1051/e3sconf/202236203005e3sconf_bsn2022_03005Stochastic load profile generator for residential EV chargingSørensen Åse Lekang0Westad Maria Claire1Delgado Benjamín Manrique2Lindberg Karen Byskov3SINTEF, Department of Architectural EngineeringNorwegian University of Science and Technology (NTNU)SINTEF, Department of Architectural EngineeringSINTEF, Department of Architectural EngineeringElectric 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/29/e3sconf_bsn2022_03005.pdf
spellingShingle Sørensen Åse Lekang
Westad Maria Claire
Delgado Benjamín Manrique
Lindberg Karen Byskov
Stochastic load profile generator for residential EV charging
E3S Web of Conferences
title Stochastic load profile generator for residential EV charging
title_full Stochastic load profile generator for residential EV charging
title_fullStr Stochastic load profile generator for residential EV charging
title_full_unstemmed Stochastic load profile generator for residential EV charging
title_short Stochastic load profile generator for residential EV charging
title_sort stochastic load profile generator for residential ev charging
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/29/e3sconf_bsn2022_03005.pdf
work_keys_str_mv AT sørensenaselekang stochasticloadprofilegeneratorforresidentialevcharging
AT westadmariaclaire stochasticloadprofilegeneratorforresidentialevcharging
AT delgadobenjaminmanrique stochasticloadprofilegeneratorforresidentialevcharging
AT lindbergkarenbyskov stochasticloadprofilegeneratorforresidentialevcharging