Skip to main content

Hierarchical Simulation of the German Energy System and Houses with PV and Storage Systems

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9424))

Abstract

The increase of renewable energies leads to new solutions in the field of decentralized energy storage. Houses with photovoltaic systems and battery storage systems can provide services for the power grid. But the isolated examination of only a few houses neglects the interaction of the houses with the power grid. We combine a model of the German energy system and a model of houses with photovoltaics and batteries. The two coupled hierarchical simulation models are then used to study different scenarios regarding the extension of renewable energy sources in Bavaria. Due to differences between the forecasted and real residual load and restrictions in the transmission grid, provision of control power is needed. The case studies show the amount of control power that will be provided by the houses with battery storage systems. In addition, the impacts on the electricity costs per year for a house are shown.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Raths, S.: Multi level european electricity market simulation using network flow algorithm and lagrangian relaxation. In: OR2013 Conference: International Conference on Operations Research, Rotterdam (2013)

    Google Scholar 

  2. Fuller, J.: Transactive modeling and simulation capabilities. In: NIST Transactive Energy Challenge Preparatory Workshop, Gaithersburg, MD (2015)

    Google Scholar 

  3. Rohjans, S., Lehnhoff, S., Schütte, S., Scherfke, S., Hussain, S.: mosaik - a modular platform for the evaluation of agent-based smart grid control. In: 4th IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Copenhagen (2013)

    Google Scholar 

  4. Palensky, P., Widl, E., Stifter, M., Elsheikh, A.: Modeling intelligent energy systems: co-simulation platform for validating flexible-demand EV charging management. IEEE Trans. Smart Grid 4(4), 1939–1947 (2013)

    Article  Google Scholar 

  5. Stifter, M., Kazmi, J.H., Andrén, F., Strasser, T.: Co-simulation of power systems, communication and controls. In: 2014 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES), pp. 1–6, Berlin (2014)

    Google Scholar 

  6. Connolly, D., Lund, H., Mathiesen, B.V., Leahy, M.: A review of computer tools for analyzing the integration of renewable energy into various energy systems. Appl. Energy 87(4), 1059–1082 (2010)

    Article  Google Scholar 

  7. Möst, D., Fichtner, W.: Einführung zur Energiesystemanalyse. In: Möst, D., Fichtner, W., Grundwald, A.: Energiesystemanalyse, pp. 11–31. Universitäts-Verlag Karlsruhe (2009)

    Google Scholar 

  8. Rosen, J.: The future role of renewable energy sources in European electricity supply: A model-based analysis for the EU-15, Universitäts-Verlag Karlsruhe (2008)

    Google Scholar 

  9. Pruckner, M., German, R.: A hybrid simulation model for large-scaled electricity generation systems. In: Pasupathy, R., Kim, S.H., Tolk, A., Hill, R., Kuhl, M.E.: Proceedings of the 2013 Winter Simulation Conference, pp. 1881–1892. Washington, D.C. (2013)

    Google Scholar 

  10. Pruckner, M., Eckhoff, D., German, R.: Modeling country-scale electricity demand profiles. In: Tolk, A., Diallo, S.Y., Ryzhov, I.O., Yilmaz, L., Buckley, S., Miller, J.A.: Proceedings of the 2014 Winter Simulation Conference, pp. 1084–1095. Savannah, GA (2014)

    Google Scholar 

  11. Pruckner, M., German, R.: Modeling and simulation of electricity by renewable energy sources for complex energy systems. In: Proceedings of the 47th Annual Simulation Symposium (ANSS 2014), pp. 1–9, Tampa, FL (2014)

    Google Scholar 

  12. AnyLogic 7. http://www.anylogic.com

  13. Bazan, P., German, R.: Hybrid simulation framework for renewable energy generation and storage grids. In: Proceedings of the International Workshop on Demand Modeling and Quantitative Analysis of Future Generation Energy Networks and Energy Efficient Systems, Bamberg (2014)

    Google Scholar 

  14. Bazan, P, Luchscheider, P., German, R.: Rapid modeling and simulation of hybrid energy networks. In: Proceedings of the 2015 SmartER Europe Conference, Essen (2015)

    Google Scholar 

  15. 50Hertz Transmission GmbH, Amprion GmbH, TenneT TSO GmbH, TransnetBW GmbH: Szenariorahmen für die Netzentwicklungspläne 2015 – Entwurf der Übertragungsnetzbetreiber (2014)

    Google Scholar 

Download references

Acknowledgment

Peter Bazan and David Steber are also members of “Energie Campus Nürnberg”, Fürther Str. 250, 90429 Nürnberg, Germany. Their research was performed as part of the “Energie Campus Nürnberg” and supported by funding through the “Aufbruch Bayern (Bavaria on the move)” initiative of the Bavarian state.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peter Bazan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Bazan, P., Pruckner, M., Steber, D., German, R. (2015). Hierarchical Simulation of the German Energy System and Houses with PV and Storage Systems. In: Gottwalt, S., König, L., Schmeck, H. (eds) Energy Informatics. EI 2015. Lecture Notes in Computer Science(), vol 9424. Springer, Cham. https://doi.org/10.1007/978-3-319-25876-8_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-25876-8_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25875-1

  • Online ISBN: 978-3-319-25876-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics