Generation of Synthetic Load Profiles of Electric Vehicles Based on Household Activity Profiles
Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES) 2022 ; Paphos, Cyprus ; 06.11.-10.11.2022
Paphos, Cyprus, 2022-11-06
2022-11-06Aufsatz (Konferenz)OA Grün
Fakultät für Informations-, Medien- und Elektrotechnik » Institut für Elektrische Energietechnik
Titel:
Generation of Synthetic Load Profiles of Electric Vehicles Based on Household Activity Profiles
Konferenz
Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES) 2022 ; Paphos, Cyprus ; 06.11.-10.11.2022
Autor*in:
Hotz, ChristianTH Köln
- DHSB-ID
- THK0003805
- Sonstiges
- der TH Köln zugeordnete Person
- DHSB-ID
- THK0001742
- SCOPUS
- 57191583895
- Sonstiges
- der TH Köln zugeordnete Person
- DHSB-ID
- THK0002009
- SCOPUS
- 6602886345
- Sonstiges
- der TH Köln zugeordnete Person
- DHSB-ID
- THK0001568
- SCOPUS
- 14050860600
- Sonstiges
- der TH Köln zugeordnete Person
Erscheinungsort:
Paphos, Cyprus
Veröffentlicht am:
2022-11-06
OA-Publikationsweg:
OA Grün
Sprache des Textes:
Englisch
Ressourcentyp:
Text
Access Rights:
Open Access
Peer Reviewed:
Nicht Peer Reviewed
Praxispartner*in:
Nein
Kategorie:
Forschung
Teil der Statistik:
Nicht Teil der Statistik
Abstract in Englisch:
Sensible numerical simulations require accurate modelling as well as a framework of realistic input data as model backbone. As one component of a comprehensive simulation environment for power systems including e-mobility, this paper describes a sociologically backed approach to an e-vehicle charging load profile generator. It is based on an existing activity-based household load generator, an extensive mobility behaviour report, and state of the art charging technology. A smart grid use case with a simple control algorithm then helps demonstrate the application of such profiles.