Applying Heuristics and Stochastic Optimization for Load-Responsive Charging in a Smart Grid Architecture

Abstract

There are many approaches to integrate electric vehicles into smart grid architectures by optimizing their charging- and feeding periods. Most approaches, however, were never applied in reality since every field-test requires an existing and expensive infrastructure. In this paper we compare the performance of four different scheduling algorithms. As opposed to other works we only present algorithms that were used in reality. The test platform that was used for this experiment is the smart grid at the Europäisches Energieforum.

@InProceedings{kuester2014applying,
  Title                    = {Applying Heuristics and Stochastic Optimization for Load-Responsive Charging in a Smart Grid Architecture},
  Author                   = {Tobias K"uster and Marco L"utzenberger and Marcus Voss{} and Daniel Freund and Sahin Albayrak},
  Booktitle                = {Proc. of 5th IEEE PES Innovative Smart Grid Technologies (ISGT) European 2014 Conference},
  Year                     = {2014},

  Doi                      = {10.1109/ISGTEurope.2014.7028966}
}
Authors:
Category:
Conference Paper
Year:
2014
Location:
Proceedings of the 5th IEEE PES Innovative Smart Grid Technologies (ISGT), Istanbul, Turkey.