Journal article
Integrating Power Systems, Transport Systems and Vehicle Technology for Electric Mobility Impact Assessment and Efficient Control
Power Syst. Lab. (PSL), ETH Zurich, Zurich, Switzerland1
Inst. for Transp. Planning & Syst. (IVT), ETH Zurich, Zurich, Switzerland2
Aerothermochemistry & Combustion Syst. Lab. (LAV), ETH Zurich, Zurich, Switzerland3
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.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2012 |
| Pages: | 934-949 |
| ISSN: | 19493061 and 19493053 |
| Types: | Journal article |
| DOI: | 10.1109/TSG.2012.2190628 |
Agent based modelling Batteries CO<sub>2</sub> Electricity Energy consumption Power systems Roads Vehicles agent based model aggregator air pollution control battery energy levels battery powered vehicles carbon compounds charging control algorithm control signals electric mobility impact assessment electric vehicle load curves electric vehicle load patterns electricity networks fossil fuels grid to vehicle (G2V) integrated analysis tool network congestion plug-in electric vehicle (PEV) power system control power system model smart grid transport systems transportation simulation vehicle energy demand simulations vehicle fleet evolution vehicle technology vehicle to grid (V2G)
