Result processing approaches for large smart grid co-simulations

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.