Micro Smart Grids and Electromobility Charging Optimization with a Distributed Agent Application (Demonstration)

Abstract

An optimized usage of renewable energy in future grid infrastructure with micro smart grids is an important goal to encourage environmental-friendly energy distribution. This demonstration presents a sophisticated optimization and simulation approach with an evolutionary strategic algorithm in a fully scalable distributed agent environment. The demo shows the benefits of agent-oriented system engineering to create a complex industrial application and the possible influence on environmental-friendly energy distribution.

@InProceedings{Hrabia2014Micro,
  Title                    = {Micro Smart Grids and Electromobility Charging Optimisation with a Distributed Agent Application (Demonstration)},
  Author                   = {Christopher-Eyk Hrabia and Marco L"{u}tzenberger and Tobias K"{u}ster and Sahin Albayrak},
  Booktitle                = {Proceedings of the 13textsuperscript{th} International Conference on Autonomous Agents and Multiagent Systems, Paris, France},
  Year                     = {2014},
  Editor                   = {Alessio Lomuscio and Paul Scerri and Ana Bazzan and Michael Huhns},
  Pages                    = {1679--1680}
}

Autoren:

Christopher-Eyk Hrabia, Marco Lützenberger, Tobias Küster

Kategorie:

Tagungsbeitrag

Jahr:

2014

Ort:

Alessio Lomuscio, Paul Scerri, Ana Bazzan, and Michael Huhns (eds.) Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), Paris, France, pp. 1679-1680