A co-simulation applied to Smart Grids consists of grouping in the same setting models of physical components (among other electrical ones) and models of control units (including communication devices). Combining these models needs to use a generic and robust co-simulation environment instead of developing a specific one. In this context, we developed the DACCOSIM 2017 co-simulation platform based on FMI-CS (Functional Mock-up Interface for CoSimulation) standard to simulate the physical components of a Smart Grid. These components represent the most CPU-consuming part of the co-simulation. However, the tasks of FMI-CS-based applications (FMUs) are exposed as heterogeneous gray boxes with no information concerning their computation and communication volumes. Moreover, all these FMUs frequently communicate with each other by sending a lot of small messages. Consequently, the deployment of an FMI-CS based co-simulation on a distributed architecture is a complex task carried out by DACCOSIM 2017. This paper introduces the development of DACCOSIM-2017, and its experiment on distributed architectures.

应用于智能电网的联合仿真包括在相同的设置模型中分组物理组件（以及其他电气组件）和控制单元（包括通信设备）模型。组合这些模型需要使用通用且强大的协同仿真环境，而不是开发特定的环境。在此背景下，我们开发了基于 FMI-CS（协同仿真功能模型接口）标准的 DACCOSIM 2017 协同仿真平台，以模拟智能电网的物理组件。这些组件代表了协同仿真中最消耗 CPU 的部分。然而，基于 FMI-CS 的应用程序 (FMU) 的任务被暴露为异构灰盒，没有关于它们的计算和通信量的信息。而且，所有这些 FMU 经常通过发送大量小消息相互通信。因此，在分布式架构上部署基于 FMI-CS 的协同仿真是 DACCOSIM 2017 执行的一项复杂任务。本文介绍了 DACCOSIM-2017 的开发及其在分布式架构上的实验。