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Result processing approaches for large smart grid co-simulations

: Marten, F.; Mand, A.-L.; Bernard, A.; Mielsch, B.K.; Vogt, M.


Computer science, research + development 33 (2018), Nr.1-2, S.199-205
ISSN: 1865-2034
ISSN: 1865-2042
Swiss-German-Austrian Research Summit on Energy Informatics "Energieinformatik" <2017, Lugano>
Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
Zukunftsfähige Stromnetze; 0325782A; OpSimEval
Zeitschriftenaufsatz, Konferenzbeitrag
Fraunhofer IWES ()
co-simulation; Stream processing; Big data analysis

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.