Probabilistic Model of Electric Vehicle Charging Demand to Distribution Network Impact Analyses
Publication Year: 2019
Author(s): Cenky M, Bendik J, Eleschova Z, Belan A, Cintula B, Janiga P
Abstract:
In the field of electrical power engineering, the subject of e-mobility is not unfamiliar and it will become more relevant in the coming years. Future distribution networks will be quite different to those, we know today. One of the main factors of impact regarding the distribution net, is the progress in the e-mobility sector. Most accurate modelling of such network is by using real data from the consumers, mainly gathering data from the e-mobiles. Availability of such data in our research regions (mostly where e-mobility is expected to be growing) is extremely low. This is due to complexity of gathering such data on large scale. There's a need for accurate predictions of users behaviour in long term. This paper deals with modeling the behaviour of the consumer based on international statistics and its application to the probabilistic model itself.
Source of Publication: Proceedings of the 20th International Scientific Conference on Electric Power Engineering (EPE 2019)
Vol/Issue: 8777973:1-6
DOI No.: 10.1109/EPE.2019.8777973
Publisher/Organisation: Institute of Electrical and Electronics Engineers Inc.
Rights: Institute of Electrical and Electronics Engineers Inc. (IEEE)
URL:
https://ieeexplore.ieee.org/document/8777973
Theme: Vehicle Technology | Subtheme: Electric vehicles
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