Integrating Power Systems, Transport Systems and Vehicle Technology for Electric Mobility Impact Assessment and Efficient Control

Authored by Kay W. Axhausen, Rashid A. Waraich, Matthias D. Galus, Fabrizio Noembrini, Karel Steurs, Gil Georges, Konstantinos Boulouchos, Goeran Andersson

Date Published: 2012-06

DOI: 10.1109/tsg.2012.2190628

Sponsors: Swiss Federal Institute of Technology (ETH) Swiss Federal Office of Energy

Platforms: MATSim

Model Documentation: Other Narrative Flow charts Mathematical description

Model Code URLs: Model code not found

Abstract

Electric mobility is considered as a promising option for future individual transportation in terms of lower CO2-emissions and reduced dependence on fossil fuels. In order to analyze its impacts effectively, an agent based model is proposed. It integrates three domains which are mainly affected by electric mobility. Vehicle fleet evolution and vehicle energy demand simulations are combined with a transportation simulation, thus determining the daily behavior of electric vehicles and providing individual battery energy levels at the different locations of the vehicles during the day. Further, a power system model combined with a charging control algorithm is included in order to study general effects in electricity networks and to provide insights into new electric vehicle load patterns, as well as into changes in transport behavior. It is shown that network congestion can be mitigated using control signals. The paper describes the method and the integration of the three different domains and shows results of the integrated analysis tool.

Tags

Smart grid Agent based modelling Transportation simulation aggregator electric vehicle load curves grid to vehicle (G2V) plug-in electric vehicle (PEV) vehicle to grid (V2G)