Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-26566Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Giorgi, Luca | - |
| dc.contributor.author | Obushevs, Artjoms | - |
| dc.contributor.author | Korba, Petr | - |
| dc.date.accessioned | 2023-01-11T11:31:37Z | - |
| dc.date.available | 2023-01-11T11:31:37Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.isbn | 978-1-6654-3804-9 | de_CH |
| dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/26566 | - |
| dc.description.abstract | This paper provides a prototype of an Electric Vehicles Load Profile Generator based on the probability density function of several parameters such as arrival time, total connection time, energy demand, and the information about the vehicle's battery size of charge and the power level of the charger. This tool of simulation, realised with Python, allows the generation of random EV load profiles and, in the next step, simulates the integration of these patterns in a defined grid through open-source and commercial software's. The Quasi-dynamic simulation approach is used since load profiles are time depending. The electric vehicles load profile generator is tested by simulating scenarios of different load profiles at points of common coupling with proposed simplification to allows maximising the precision of the results and at the same time to minimise the needed simulation time. | de_CH |
| dc.language.iso | en | de_CH |
| dc.publisher | IEEE | de_CH |
| dc.rights | Licence according to publishing contract | de_CH |
| dc.subject | Distribution system impact | de_CH |
| dc.subject | Electric vehicle | de_CH |
| dc.subject | Power distribution | de_CH |
| dc.subject | Power system modelling | de_CH |
| dc.subject | Quasi-dynamic time-series analysis | de_CH |
| dc.subject.ddc | 621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnik | de_CH |
| dc.title | Electric vehicles load profile generator based on the probability density functions | de_CH |
| dc.type | Konferenz: Paper | de_CH |
| dcterms.type | Text | de_CH |
| zhaw.departement | School of Engineering | de_CH |
| zhaw.organisationalunit | Institut für Energiesysteme und Fluid-Engineering (IEFE) | de_CH |
| dc.identifier.doi | 10.1109/RTUCON53541.2021.9711591 | de_CH |
| dc.identifier.doi | 10.21256/zhaw-26566 | - |
| zhaw.conference.details | 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), Riga, Latvia, 15-17 November 2021 | de_CH |
| zhaw.funding.eu | No | de_CH |
| zhaw.originated.zhaw | Yes | de_CH |
| zhaw.publication.status | acceptedVersion | de_CH |
| zhaw.publication.review | Peer review (Publikation) | de_CH |
| zhaw.title.proceedings | 2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) | de_CH |
| zhaw.webfeed | Elektrische Energiesysteme und Smart Grids | de_CH |
| zhaw.author.additional | No | de_CH |
| zhaw.display.portrait | Yes | de_CH |
| Appears in collections: | Publikationen School of Engineering | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2021_Giorgi-Obushevs-Korba_Electric-vehicles-load-profile-generator_RTUCON_IEEE.pdf | Accepted Version | 1.08 MB | Adobe PDF |  View/Open |
Show simple item record
Giorgi, L., Obushevs, A., & Korba, P. (2021). Electric vehicles load profile generator based on the probability density functions. 2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). https://doi.org/10.1109/RTUCON53541.2021.9711591
Giorgi, L., Obushevs, A. and Korba, P. (2021) ‘Electric vehicles load profile generator based on the probability density functions’, in 2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). IEEE. Available at: https://doi.org/10.1109/RTUCON53541.2021.9711591.
L. Giorgi, A. Obushevs, and P. Korba, “Electric vehicles load profile generator based on the probability density functions,” in 2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), 2021. doi: 10.1109/RTUCON53541.2021.9711591.
GIORGI, Luca, Artjoms OBUSHEVS und Petr KORBA, 2021. Electric vehicles load profile generator based on the probability density functions. In: 2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). Conference paper. IEEE. 2021. ISBN 978-1-6654-3804-9
Giorgi, Luca, Artjoms Obushevs, and Petr Korba. 2021. “Electric Vehicles Load Profile Generator Based on the Probability Density Functions.” Conference paper. In 2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). IEEE. https://doi.org/10.1109/RTUCON53541.2021.9711591.
Giorgi, Luca, et al. “Electric Vehicles Load Profile Generator Based on the Probability Density Functions.” 2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), IEEE, 2021, https://doi.org/10.1109/RTUCON53541.2021.9711591.
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