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AC Power Flow Simulations within an Open Data Model of a High Voltage Grid

In: Advances and New Trends in Environmental Informatics

Author

Listed:
  • Ulf Philipp Müller

    (Centre for Sustainable Energy Systems, Flensburg University of Applied Sciences)

  • Ilka Cussmann

    (Centre for Sustainable Energy Systems, Flensburg University of Applied Sciences)

  • Clemens Wingenbach

    (Centre for Sustainable Energy Systems, Europa-Universität Flensburg)

  • Jochen Wendiggensen

    (Centre for Sustainable Energy Systems, Flensburg University of Applied Sciences)

Abstract

The development of transparent and reproducible electricity grid models poses a scientific challenge, mainly due to a lack of data transparency in grid economy. This paper presents a modelling method based on Open Data and Open Source. It is focused on a model of the high voltage grid of the German federal state Schleswig-Holstein. The developed model enables to perform static AC power flow simulations. Topological OpenStreetMap information is combined with literature-based assumptions of typical line data. Generation capacities were assigned to the grid buses using freely available registers. The demand was allocated to these buses using the correlating distribution of population. The output of the AC power flow simulations respectively bus voltages and line currents for different worst-case scenarios are presented, analysed and discussed. The results show the potential of scientific electricity grid modelling using Open Data and Open Source. Realistic grid congestion within the high voltage grid of Schleswig-Holstein was identified, providing a basis for further discussion. For a comprehensive validation of the simulated results relevant data need to be opened for the public.

Suggested Citation

  • Ulf Philipp Müller & Ilka Cussmann & Clemens Wingenbach & Jochen Wendiggensen, 2017. "AC Power Flow Simulations within an Open Data Model of a High Voltage Grid," Progress in IS, in: Volker Wohlgemuth & Frank Fuchs-Kittowski & Jochen Wittmann (ed.), Advances and New Trends in Environmental Informatics, pages 181-193, Springer.
    • Handle: RePEc:spr:prochp:978-3-319-44711-7_15
    DOI: 10.1007/978-3-319-44711-7_15
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    Cited by:

    1. Wiese, Frauke & Schlecht, Ingmar & Bunke, Wolf-Dieter & Gerbaulet, Clemens & Hirth, Lion & Jahn, Martin & Kunz, Friedrich & Lorenz, Casimir & Mühlenpfordt, Jonathan & Reimann, Juliane & Schill, Wolf-P, 2019. "Open Power System Data – Frictionless data for electricity system modelling," Applied Energy, Elsevier, vol. 236(C), pages 401-409.
    2. Md. Nasimul Islam Maruf, 2019. "Sector Coupling in the North Sea Region—A Review on the Energy System Modelling Perspective," Energies, MDPI, vol. 12(22), pages 1-35, November.
    3. Wilko Heitkoetter & Wided Medjroubi & Thomas Vogt & Carsten Agert, 2019. "Comparison of Open Source Power Grid Models—Combining a Mathematical, Visual and Electrical Analysis in an Open Source Tool," Energies, MDPI, vol. 12(24), pages 1-15, December.
    4. Gupta, Rahul & Sossan, Fabrizio & Paolone, Mario, 2021. "Countrywide PV hosting capacity and energy storage requirements for distribution networks: The case of Switzerland," Applied Energy, Elsevier, vol. 281(C).

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