Integrating electric vehicles in electricity system models – representing individual driving patterns
Paper in proceeding, 2018

This study takes initial steps in developing a method that includes a representation of road transportation demand on individual EV level (based on GPS driving measurements) in an optimisation electricity system model to also represent the spread in the individual driving patterns. The main conclusions are that different driving profiles do have an impact on the charging and discharging back to grid depending on the individual driving distance, battery capacity and driving profile. This have shown to have an impact on, e.g. investments in peak power and the potential role of EVs facilitating the integration of more intermittent renewable power.

electricity system

variation management

individual driving patterns




Mikael Odenberger

Chalmers, Space, Earth and Environment, Energy Technology

Maria Taljegård

Chalmers, Space, Earth and Environment, Energy Technology

31st International Electric Vehicle Symposium and Exhibition, EVS 2018 and International Electric Vehicle Technology Conference 2018, EVTeC 2018

Vol. 2 1020-1026
978-1-5108-9157-9 (ISBN)

EVS 31 & EVTeC 2018
Kobe, Japan,

Statens Vegvesen - The E39 as a renewable European electricity hub

Norwegian Public Roads Administration (NPRA) (2011 067932), 2014-03-17 -- 2018-12-31.

Driving Forces

Sustainable development

Areas of Advance



Subject Categories

Energy Systems

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