Integrating Electric Vehicles into Smart Grid Infrastructures – A Simulation-Based Approach that became Reality

Abstract

The development of software that controls real life processes can be highly difficult and error prone. In the case that the destination test-bed does not fully exist, the situation becomes significantly more challenging. We developed a control software for charging processes of an electric vehicle fleet in a smart grid architecture. To accelerate the development and to ease the integration process, we used an agent-based approach and embedded the optimization software within a simulation environment. Later we enhanced this simulation environment to a consulting tool which can be used to assess the impact of structural extensions. In this paper we present both, the optimization mechanism as well as the simulation environment.

@InProceedings{Lutzenberger2014Integrating,
  Title                    = {Integrating Electric Vehicles into Smart Grid Infrastructures -- A Simulation-Based Approach that became Reality},
  Author                   = {Marco L"{u}tzenberger and Tobias K"{u}ster and Sahin Albayrak},
  Booktitle                = {Proceedings of the 2014 Winter Simulation Conference (WSC'14), Savannah, GA, USA},
  Year                     = {2014},
  Pages                    = {1061--1072},
  Month					   = {December},
  Editor                   = {A. Tolk and S. D. Diallo and I. O. Ryzhov and L. Yilmaz and S. Buckley and J. A. Miller},

Publisher                = {IEEE},
Abstract = {The development of software that controls real life processes can be highly difficult and error prone. In the case that the destination test-bed does not fully exist, the situation becomes significantly more challenging. We developed a control software for charging processes of an electric vehicle fleet in a smart grid architecture. To accelerate the development and to ease the integration process, we used an agent-based approach and embedded the optimization software within a simulation environment. Later we enhanced this simulation environment to a consultant tool which can be used to assess the impact of structural extensions. In this paper we present both, the optimization mechanism as well as the simulation environment.}
}
Authors:
Marco Lützenberger, Tobias Küster, Sahin Albayrak
Category:
Conference Paper
Year:
2014
Location:
A. Tolk, S. D. Diallo, I. O. Ryzhov, L. Yilmaz, S. Buckley, J. A. Miller (eds.) Proceedings of the 2014 Winter Simulation Conference (WSC 2014), Savannah, GA, USA. pp. 1061-1072