在FMI-CS标准下实现准确、快速的混合多仿真

Jean-Philippe Tavella, M. Caujolle, S. Vialle, Cherifa Dad, Charles Tan, Gilles Plessis, Mathieu Schumann, A. Cuccuru, S. Revol
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引用次数: 20

摘要

未来智能电网环境下的多仿真包括对不同物理域建模的关联组件,以及它们的局部或全局控制。我们的DACCOSIM多仿真环境基于Modelica协会维护的FMI-CS(联合仿真功能模型接口)标准的2.0版本。它专门设计用于在单个PC机或多核节点集群上运行大型复杂系统。但是,在保持系统整体性能的同时,准确地模拟包含可预测和不可预测事件的fmu组成的系统是非常具有挑战性的。本文提出了对FMI-CS标准的一些补充,旨在提高涉及时间步长和各种事件混合的分布式多仿真的精度和性能。解释了所提出的FMI-CS原语,以及有效利用它们的主算法策略。
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Toward an accurate and fast hybrid multi-simulation with the FMI-CS standard
Multi-simulation in the context of future smart electrical grids consists in associating components modeling different physical domains, but also their local or global control. Our DACCOSIM multi-simulation environment is based on the version 2.0 of the FMI-CS (Functional Mock-up Interface for Co-Simulation) standard maintained by the Modelica Association. It has been specifically designed to run large-scale and complex systems on a single PC or a cluster of multicore nodes. But it is quite challenging to accurately simulate FMUs-composed systems involving predictable and unpredictable events while preserving the system overall performance. This paper presents some additions to the FMI-CS standard aiming to improve the accuracy and the performance of distributed multi-simulations involving a mix of both time steps and various kinds of events. The proposed FMI-CS primitives are explained, as well as the Master Algorithm strategies to exploit them efficiently.
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