Integrating electric vehicles in electricity system models – representing individual driving patterns
Paper in proceedings, 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.

modelling

vehicle-to-grid

variation management

electricity system

individual driving patterns

Author

Mikael Odenberger

Chalmers, Space, Earth and Environment, Energy Technology, Energy Technology 2

Maria Taljegård

Chalmers, Space, Earth and Environment, Energy Technology, Energy Technology 1

EVS 31 & EVTeC 2018
Kobe, Japan,

Statens Vegvesen - The E39 as a renewable European electricity hub

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

Driving Forces

Sustainable development

Areas of Advance

Transport

Energy

Subject Categories

Energy Systems

More information

Latest update

12/9/2019