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Integrated transportation and power system modeling

Dominik Ascher and Georg Hackenberg

Connected Vehicles and Expo (ICCVE), 2015 International Conference on, 19-23 October 2015

Abstract

Undesired impacts on the power system caused by electric vehicles (EVs) remain a major challenge that needs to be addressed to guarantee their safe widespread adaption. In this context, efficiently balancing power demand power grids represents a fundamental issue of vehicle-to-grid (V2G) applications of EV. Here, existing approaches cover only a limited set of features required to achieve integrated multi-objective transportation and power system modeling. In this paper, we investigate an approach for holistic and integrated modeling of transportation systems and electric networks, covering electric devices within the power system and individual cars on the traffic network which make up the transportation system. The approach allows for rapid variation and evaluation of scenarios of both transportation systems and electric networks by varying their configuration, composition and underlying objectives. We apply our approach to different incremental small-scale V2G example scenarios. Obtained simulation results show the feasibility of the approach in terms of the employed modeling technique. Based on simulation results, we conclude with an evaluation of our approach with respect to it's validity, novelty, efficiency and applicability.

BibTeX Citation

@INPROCEEDINGS{Ascher2015, 
	author={D. Ascher and G. Hackenberg}, 
	booktitle={2015 International Conference on Connected Vehicles and Expo (ICCVE)}, 
	title={Integrated transportation and power system modeling}, 
	year={2015}, 
	pages={379-384}, 
	keywords={electric vehicles;power grids;EV;V2G applications;electric devices;electric vehicles;integrated multiobjective transportation;integrated transportation;power grids;power system modeling;vehicle-to-grid applications;Charging stations;Power system dynamics;Power system stability;Vehicle dynamics;Vehicles;Feasibility study;electric vehicles;intelligent transportation systems;rapid prototyping;smart grids}, 
	doi={10.1109/ICCVE.2015.23}, 
	month={Oct}
}

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