Heuristic Power Scheduling of Electric Vehicle Battery Charging Based on Discrete Event Simulation

  • Stephan Hutterer
  • Michael Affenzeller
  • Franz Auinger
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6927)

Abstract

Since the electrification of individual traffic may cause a critical load to power grids, methods have to be investigated that are capable of handling its highly stochastic behaviour. From a power grid’s point of view, forecasting applications are needed for computing optimal power generation schedules that satisfy end-user’s energy needs while considering installed capacities in the grid. In this paper, an optimization framework is being proposed, that uses metaheuristic algorithms for finding these schedules based on individual traffic simulation using discrete-event methodology. Evolution Strategy implemented in HeuristicLab is used as optimization algorithm, where the used parameterization and the achieved results will be shown.

Keywords

Electric Vehicle Smart Grid Power Grid Stochastic Behaviour Base Load 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Stephan Hutterer
    • 1
  • Michael Affenzeller
    • 1
    • 2
  • Franz Auinger
    • 1
  1. 1.Upper Austria University of Applied SciencesAustria
  2. 2.Josef Ressel Center Heureka!Austria

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