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
This paper presents a co-simulation environment fortesting different operation, control and aggregation strategies ona power network model with multiple voltage levels. Inparticular this environment, called "OpSim", is used toinvestigate the question of how multiple grid operators -controlling different voltage levels and I or grid areas - couldinteract in a future grid scenario with a high amount ofrenewable energy resources. First the architecture of "OpSim"is presented, which uses a message bus to connect andsynchronize multiple simulators, representing the grid, as wellas grid operators strategies. Second, a proof-of-concept isdemonstrated in which an interaction between multiple gridoperators is investigated. The message rate between simulationcomponents is evaluated and results indicate that a stablesimulation operation is possible. Finally, the furtherdevelopment stages of "OpSim" are explained, as well as a firstapplication with industrial partners
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