Towards a Tool-Based Approach for Dynamically Generating Co-Simulation Scenarios based on complex Smart Grid System Architectures

The advancement of the electricity system in the upcoming years faces major challenges due to the rising number of decentralized and self-managed participants that individually react to the current load. These participants, regardless whether being an electric Vehicle or a Photovoltaic System, can have diverse behaviors, whose interplaying one mutual system is still widely unexplored. As conventional engineering methods reach their limits when trying to predict the collective behaviors of such Systems of Systems (SoS), the utilization of advanced tools such as the SGAM Toolbox and Mosaik framework is necessary. Each of the tools provide a distinct functionality in their unique field of application, however, their interconnection has yet to be introduced. Therefore, this work has been dedicated to explore the possibility of extending an SGAM based model so that the generation of components and their behavior for usage in the Co-Simulation environment of Mosaik is supported. The developed artifacts are thereby evaluated with a suitable realworld case study making use of different kinds of Electric Vehicle (EV) behaviors. Based on the results of this approach, entire Co-Simulation scenarios can be set up according to previously modeled Smart Grid architectures, which enables the analysis of different system behaviors in a considerably simplified way.