Digital Library on Green Mobility

prewiew

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

Related Documents

Opinions/Videos

Abstract:

The transport sector is a significant and growing contributor to spiking air pollution in Indi... Read More

Research Papers/Articles

Abstract:

This original research analyzes the actions that are impacting electric vehicle deployment acr... Read More

Research Papers/Articles

Abstract:

This study analyzes emerging light-duty electric vehicle technologies in terms of their perfor... Read More