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.

中文翻译：

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大型智能电网协同仿真的结果处理方法

智能电网的仿真为在实验室和现场测试之前测试新概念提供了一种安全的方法。由于智能电网的多种因素和多种物理的复杂性，许多研究机构已经开发了将不同模型和模拟器连接在一起的“协同仿真”环境。然而，由于例如各种分布式模拟以及大量和变化量的结果数据和对数数据，因此对联合仿真的后续结果分析具有挑战性。如果考虑长时间跨度的结果，这可能会成为大数据分析问题。本文提出了两种用于联合仿真的结果处理方法，其中一种是基于流的。首次性能测试显示出令人满意的数据处理速率，我们讨论了未来的开发步骤。