Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

OpenGridMap: towards automatic power grid simulation model generation from crowdsourced data

Abstract

OpenGridMap is an open source project that crowdsources realistic power grid data to be used for research purposes. In this paper, we propose an approach for the automatic generation of power gird simulation models from crowdsourced data. The proposed approach orders the crowdsourced data into a power circuit relation which is then used to produce a CIM description file and subsequently a power grid simulation model. We provide experiments which demonstrate the effectiveness of the approach on OpenGridMap data. Given the large amount of crowdsourced data available, our approach has the potential to generate power grid simulations of larger size, more variety and more accuracy than the currently available state-of-the-art test power grids.

This is a preview of subscription content, log in to check access.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Notes

  1. 1.

    https://play.google.com/store/apps/details?id=tanuj.opengridmap&hl=en.

  2. 2.

    https://www.entsoe.eu/major-projects/common-information-model-cim/cim-for-grid-models-exchange/standards/Pages/default.aspx.

  3. 3.

    http://de.mathworks.com/products/simpower/.

  4. 4.

    http://download.geofabrik.de/.

  5. 5.

    http://wiki.openstreetmap.org/wiki/Osmosis.

  6. 6.

    http://wiki.openstreetmap.org/wiki/Osm2pgsql.

  7. 7.

    https://pypi.python.org/pypi/PyCIM/15.13.4.

  8. 8.

    https://github.com/OpenGridMap/transnet.

References

  1. 1.

    Altschaffl S, Witzmann R, Ahndorf T (2014) Generating a PSS NETOMAC model of the German Transmission Grid from Google Earth and visualizing load flow results. In: Proceedings of the 2014 IEEE international energy conference (ENERGYCON), pp 603–609. IEEE

  2. 2.

    Berry T (2000) Standards for energy management system application program interfaces. In: Proceedings of the international conference on electric utility deregulation and restructuring and power technologies (DRPT), pp 156–161. IEEE

  3. 3.

    Bytschkow D, Zellner M, Duchon M (2015) Combining SCADA, CIM, GridLab-D and AKKA for smart grid co-simulation. In: Innovative smart grid technologies conference (ISGT), 2015 IEEE Power and Energy Society, pp 1–5. IEEE

  4. 4.

    Çakmak HK, Maaß H, Bach F, Kühnapfel UG, Hagenmeyer V (2015) Ein Ansatz zur automatisierten Erstellung umfangreicher und komplexer Simulationsmodelle für elektrische Übertragungsnetze aus OpenStreetMap-Daten. Automatisierungstechnik 63(11):911–925

  5. 5.

    Chassin DP, Schneider K, Gerkensmeyer C (2008) GridLAB-D: an open-source power systems modeling and simulation environment. In: 2008 IEEE/PES transmission and distribution conference and exposition

  6. 6.

    Deutsche Energie-Agentur: dena-Verteilnetzstudie (2012) Ausbau-und Innovationsbedarf der Stromverteilnetze in Deutschland bis 2030. Tech Rep

  7. 7.

    Esri (2012) Enterprise GIS and the smart electric grid . Tech Rep

  8. 8.

    Hagenmeyer V, Kemal Çakmak H, Düpmeier C, Faulwasser T, Isele J, Keller HB, Kohlhepp P, Kühnapfel U, Stucky U, Waczowicz S, Mikut R (2016) Information and communication technology in Energy Lab 2.0: smart energies system simulation and control center with an open-street-map-based power flow simulation example. Energy Technol 4(1):145–162

  9. 9.

    Haklay MM, Weber P (2008) OpenStreetMap: user-generated street maps. IEEE Pervasive Comput 7(4):12–18

  10. 10.

    Kersting W (1991) Radial distribution test feeders. IEEE Trans Power Syst 6(3):975–985

  11. 11.

    McMorran AW, Ault GW, Elders IM, Foote CE, Burt GM, McDonald JR (2004) Translating CIM XML power system data to a proprietary format for system simulation. IEEE Trans Power Syst 19(1):229–235

  12. 12.

    Medjroubi W, Matke C, Kleinhans D (2015) SciGRID—an open source reference model for the European Transmission Network (v0.2). http://www.scigrid.de

  13. 13.

    (2016) OpenStreetMap: power routing proposal. http://wiki.openstreetmap.org/wiki/Proposed_features/Power_routing_proposal. Accessed 27 Jan 2016

  14. 14.

    Pacific Northwestern National Laborattories (2008) Modern grid initiative distribution taxonomy final report. Tech Rep

  15. 15.

    Rivera J, Goebel C, Sardari D, Jacobsen HA (2015) Energy informatics: 4th D-A-CH conference, EI 2015, Karlsruhe, Germany, November 12–13, 2015. In: Proceedings, Chap. OpenGridMap: an open platform for inferring power grids with crowdsourced data, pp 179–191. Springer International Publishing, Cham. doi:10.1007/978-3-319-25876-8_15

  16. 16.

    Strunz K, Fletcher R, Campbell R, Gao F (2009) Developing benchmark models for low-voltage distribution feeders. In: Power energy society general meeting, 2009. PES’09. IEEE, pp 1–3

  17. 17.

    U.S. Department of Energy (2003) Grid 2030: a national vision for electricity’s second 100 years

  18. 18.

    U.S. Department of Energy (2014) 2014 smart grid system report

  19. 19.

    Wang X, Schulz NN, Neumann S (2003) CIM extensions to electrical distribution and CIM XML for the IEEE radial test feeders. IEEE Trans Power Syst 18(3):1021–1028

Download references

Acknowledgments

We would like to thank Klaus Schreiber, Tanuj Ghinaiya, and Shota Bakuraze from TU München for their contributions to the project. We would also like to thank Michael Metzger from Siemens AG for his contributions as advisor to the project. Most importantly, we would like to thank all the countless contributors that have helped crowdsource geographical data. This research was supported by a German Federal Ministry of Education and Research Grant (BMBF 01IS12057) and the Alexander von Humboldt Foundation. During the cause of this work, H.A. Jacobsen held affiliations with the University of Toronto, Canada, and the Technische Universität München, Germany. Jose Rivera is the corresponding author.

Author information

Correspondence to Jose Rivera.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Rivera, J., Leimhofer, J. & Jacobsen, H. OpenGridMap: towards automatic power grid simulation model generation from crowdsourced data. Comput Sci Res Dev 32, 13–23 (2017). https://doi.org/10.1007/s00450-016-0317-4

Download citation

Keywords

  • Power grids
  • Power distribution
  • Geographic information systems
  • Crowdsourcing