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Advances in Energy System Optimization pp 189–204Cite as

Birkhäuser

Modeling of the Transmission Grid Using Geo Allocation and Generalized Processes

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Part of the book series: Trends in Mathematics ((TM))

Abstract

Feasible scientific usage of transmission grid data requires a node-edge-model with georeferenced information (location of substations or positioning of power lines) and specific electric parameters of each included element. The paper summarizes available data sets for existing and future line sections of the European transmission grid. The developed process model shows a suitable, transparent approach for integration of varying data into one coherent model. The resulting structure provides a consistent transmission grid model for scientific research in simulations.

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Notes

  1. 1.

    The projects MOS 2030 (funding code 03ESP110A) and MONA 2030 (funding code 03ET4015) are co-funded by German Federal Ministry of Economic Affairs and Energy through the funding initiatives “Energiespeicher” and “Zukünftige Stromnetze”. More information on the projects can be found on ffe.de/mos2030 and ffe.de/mona.

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Author information

Authors and Affiliations

  1. Research Center for Energy Economics (Forschungsstelle Für Energiewirtschaft), Munich, Germany

    Simon Köppl, Felix Böing & Christoph Pellinger

Authors
  1. Simon Köppl
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  2. Felix Böing
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  3. Christoph Pellinger
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Corresponding author

Correspondence to Simon Köppl .

Editor information

Editors and Affiliations

  1. Economic Analysis, The Economic and Social Research Institute, Dublin, Ireland

    Valentin Bertsch

  2. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Wolf Fichtner

  3. University of Heidelberg, Heidelberg, Germany

    Vincent Heuveline

  4. Karlsruhe Institute of Technology, Institute of Electric Energy Systems and High-Voltage Technology, Karlsruhe, Germany

    Thomas Leibfried

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© 2017 Springer International Publishing AG

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Köppl, S., Böing, F., Pellinger, C. (2017). Modeling of the Transmission Grid Using Geo Allocation and Generalized Processes. In: Bertsch, V., Fichtner, W., Heuveline, V., Leibfried, T. (eds) Advances in Energy System Optimization. Trends in Mathematics. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-51795-7_12

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