Optimization of charging strategies for electric vehicles in PowerMatcher-driven smart energy grids

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A crucial challenge in future smart energy grids is the large-scale coordination of distributed energy demand and generation. The well-known PowerMatcher is a promising approach that integrates demand and supply exibility in the operation of the electricity system through dynamic pricing and a hierarchical bidding coordination scheme. However, as the PowerMatcher focuses on short-term coordination of demand and supply, it cannot fully exploit the exibility of e.g. electric vehicles over longer periods of time. In this paper, we propose an extension of the PowerMatcher comprising a planning module, which provides coordinated predictions of demand/price over longer times as input to the users for determining their short-term bids. The optimal short-term bidding strategy minimizing a user's costs is then formulated as a Stochastic Dynamic Programming (SDP) problem. We derive an analytic solution for this SDP problem leading to a simple short-term bidding strategy. Numerical results using real-world data show a substantial performance improvement compared to the standard PowerMatcher, without significant additional complexity.
Original languageUndefined
Title of host publicationProceedings 9th EAI International Conference on Performance Evaluation Methodologies and Tools, Valuetools 2015
EditorsW. Knottenbelt, K. Wolter, A. Busic, M. Gribaudo, P. Reinecke
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Number of pages8
ISBN (Print)978-1-63190-096-9
Publication statusPublished - 2015
Event9th EAI International Conference on Performance Evaluation Methodologies and Tools 2015 - Berlin, Germany
Duration: 14 Dec 201516 Dec 2015
Conference number: 9

Publication series



Conference9th EAI International Conference on Performance Evaluation Methodologies and Tools 2015
Abbreviated titleVALUETOOLS 2015
Internet address


  • EWI-26827
  • PowerMatcher
  • Electric vehicles
  • METIS-316836
  • Smart Grids
  • Market-based coordination
  • IR-99668
  • Stochastic dynamic programming

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