Synthesis and feedback on the distribution and parallelization of FMI-CS-based co-simulations with the DACCOSIM platform - Laboratoire Interdisciplinaire des Sciences du Numérique Accéder directement au contenu
Article Dans Une Revue Parallel Computing Année : 2021

Synthesis and feedback on the distribution and parallelization of FMI-CS-based co-simulations with the DACCOSIM platform

Résumé

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.
Fichier principal
Vignette du fichier
S0167819121000545.pdf (2.09 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03468312 , version 1 (22-08-2023)

Licence

Paternité - Pas d'utilisation commerciale

Identifiants

Citer

Cherifa Dad, Jean-Philippe Tavella, Stéphane Vialle. Synthesis and feedback on the distribution and parallelization of FMI-CS-based co-simulations with the DACCOSIM platform. Parallel Computing, 2021, 106, pp.102802. ⟨10.1016/j.parco.2021.102802⟩. ⟨hal-03468312⟩
65 Consultations
12 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More