Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-26566
Publication type: Conference paper
Type of review: Peer review (publication)
Title: Electric vehicles load profile generator based on the probability density functions
Authors: Giorgi, Luca
Obushevs, Artjoms
Korba, Petr
et. al: No
DOI: 10.1109/RTUCON53541.2021.9711591
10.21256/zhaw-26566
Proceedings: 2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)
Conference details: 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), Riga, Latvia, 15-17 November 2021
Issue Date: 2021
Publisher / Ed. Institution: IEEE
ISBN: 978-1-6654-3804-9
Language: English
Subjects: Distribution system impact; Electric vehicle; Power distribution; Power system modelling; Quasi-dynamic time-series analysis
Subject (DDC): 621.3: Electrical, communications, control engineering
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.
URI: https://digitalcollection.zhaw.ch/handle/11475/26566
Fulltext version: Accepted version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Energy Systems and Fluid Engineering (IEFE)
Appears in collections:Publikationen School of Engineering

Files in This Item:
File Description SizeFormat 
2021_Giorgi-Obushevs-Korba_Electric-vehicles-load-profile-generator_RTUCON_IEEE.pdfAccepted Version1.08 MBAdobe PDFThumbnail
View/Open
Show full 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.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.