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.
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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.
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Rivera, J., Leimhofer, J. & Jacobsen, HA. 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
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DOI: https://doi.org/10.1007/s00450-016-0317-4