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Result processing approaches for large smart grid co-simulations

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Computer Science - Research and Development

Abstract

Simulations of smart grids provide a safe means to test new concepts prior to laboratory and field tests. Due to the multi-actor and multi-physics complexity of smart grids, various research institutes have developed “co-simulation” environments which link different models and simulators together. However, the subsequent result analysis of a co-simulation is challenging, due to e.g. various distributed simulations and the large and varied amount of result- and log-data. When results over long time spans are considered, this may become a big data analysis problem. This paper proposes two result processing approaches for co-simulations, of which one is stream-based. A first performance test shows promising data processing rates and we discuss future development steps.

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Notes

  1. www.opsim.net.

  2. https://pypi.python.org/pypi/pandapower.

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  4. https://hazelcast.com/products/jet/.

  5. https://flink.apache.org/.

  6. https://hazelcast.com/press-release/introducing-hazelcast-jet-new-lightweight-distributed-data-processing-engine/.

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Acknowledgements

This work presents selected results from the project “OpSimEval”, which is performed by Fraunhofer IWES and University of Kassel and is funded by the Federal Ministry for Economic Affairs and Energy under Grant Nos. 032578A and 032578B, on the basis of a decision by the German Bundestag. The development of the “Caro” platform benefited from ideas and feedback of Jaro Habiger, who worked at Fraunhofer IWES during the first prototype development. The authors take full responsibility for the content of this paper.

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Authors and Affiliations

  1. Fraunhofer IWES, Königstor 59, 34119, Kassel, Germany

    Frank Marten, Anna-Lena Mand, Andreas Bernard, Björn Kolja Mielsch & Mike Vogt

Authors
  1. Frank Marten
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  2. Anna-Lena Mand
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  3. Andreas Bernard
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  4. Björn Kolja Mielsch
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  5. Mike Vogt
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Correspondence to Frank Marten.

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Marten, F., Mand, AL., Bernard, A. et al. Result processing approaches for large smart grid co-simulations. Comput Sci Res Dev 33, 199–205 (2018). https://doi.org/10.1007/s00450-017-0359-2

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  • DOI: https://doi.org/10.1007/s00450-017-0359-2

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