Toward an accurate and fast hybrid multi-simulation with the FMI-CS standard

Tavella, Jean-Philippe; Caujolle, Mathieu; Vialle, Stéphane; Dad, Cherifa; Tan, Charles; Plessis, Gilles; Schumann, Mathieu; Cuccuru, Arnaud; Revol, Sébastien

doi:10.1109/etfa.2016.7733616

Cited by 18 publications

(22 citation statements)

References 6 publications

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“…In order to make the two models interact with each other during the simulation, we must implement in both models the corresponding FMI ports. The DACCOSIM software (Tavella et al, 2016) is a simulation tool dedicated to FMI cosimulations. It is handling the composition of FMI cosimulation scenarios, and can produce an FMU from a cosimulation unit which is already composed of FMUs.…”

Section: The "Islanded Smart Grid" Use Casementioning

confidence: 99%

An Approach to Design Smart Grids and Their IT System by Cosimulation

Oudart

Cantenot

Boulanger

et al. 2019

Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development

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Smart grids are the oncoming generation of power grids, which rely on information and communication technologies to tackle decentralized and intermittent energy sources such as wind farms and photovoltaic plants. They integrate electronics, software information processing and telecommunications technical domains. Therefore the design of smart grids is complex because of the various technical domains and modeling tools at stake. In this article, we present an approach to their design, which relies on model driven engineering, executable models and FMI based cosimulation. This approach is illustrated on the use case of an insular power grid and allows to study the impact of power production decisions.

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Section: The "Islanded Smart Grid" Use Casementioning

confidence: 99%

An Approach to Design Smart Grids and Their IT System by Cosimulation

Oudart

Cantenot

Boulanger

et al. 2019

Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development

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“…They enable to perform a rollback during the simulation of the model. In its current state, FMI-CS is not yet fully compliant with hybrid simulation requirements [5,11,28]. In particular, an FMU only supports continuous and piecewise continuous input/output time signals.…”

Section: Context 31 the Fmi Standardmentioning

confidence: 99%

Co-simulation of FMUs and Distributed Applications with SimGrid

Camus

Orgerie

Quinson

2018

Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation

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The Functional Mock-up Interface (FMI) standard is becoming an essential solution for co-simulation. In this paper, we address a specific issue which arises in the context of Distributed Cyber-Physical System (DCPS) co-simulation where Functional Mock-up Units (FMU) need to interact with distributed application models. The core of the problem is that, in general, complex distributed application behaviors cannot be easily and accurately captured by a modeling formalism but are instead directly specified using a standard programming language. As a consequence, the model of a distributed application is often a concurrent program. The challenge is then to bridge the gap between this programmatic description and the equation-based framework of FMI in order to make FMUs interact with concurrent programs. In this article, we show how we use the unique model of execution of the SimGrid simulation platform to tackle this issue. The platform manages the co-evolution and the interaction between IT models and the different concurrent processes which compose a distributed application code. Thus, SimGrid offers a framework to mix models and concurrent programs. We show then how we specify an FMU as a SimGrid model to solve the DCPS co-simulation issues. Compared to other works of the literature, our solution is not limited to a specific use case and benefits from the versatility and scalability of SimGrid.

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“…Additional difficulties arise if discrete-time models (e.g., control software) are included within a co-simulation setup (hybrid co-simulation). With regards to hybrid cosimulation, the latest FMI 2.0 standard was shown to have deficiencies and different proposals to amend these deficiencies were discussed, e.g., (Broman et al, 2013;Cremona et al, 2016;Tavella et al, 2016;Cremona et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

OMSimulator - Integrated FMI and TLM-based Co-simulation with Composite Model Editing and SSP

Ochel

Braun

Thiele

et al. 2019

Linköping Electronic Conference Proceedings

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OMSimulator is an FMI-based co-simulation tool and recent addition to the OpenModelica tool suite. It supports large-scale simulation and virtual prototyping using models from multiple sources utilizing the FMI standard. It is integrated into OpenModelica but also available stand-alone, i.e., without dependencies to Modelicaspecific models or technology. OMSimulator provides an industrial-strength open-source FMI-based modelling and simulation tool. Input/output ports of FMUs can be connected, ports can be grouped to buses, FMUs can be parameterized and composed, and composite models can be exported according to the (preliminary) SSP (System Structure and Parameterization) standard. Efficient FMIbased simulation is provided for both model-exchange and co-simulation. TLM-based tool connection is provided for a range of applications, e.g., Adams, Simulink, Beast, Dymola, and OpenModelica. Moreover, optional TLM (Transmission Line Modelling) domain-specific connectors are also supported, providing additional numerical stability to co-simulation. An external API is available for use from other tools and scripting languages such as Python and Lua. The paper gives an overview of the tool functionality, compares with related work, and presents experience from industrial usage.

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Toward an accurate and fast hybrid multi-simulation with the FMI-CS standard

Cited by 18 publications

References 6 publications

An Approach to Design Smart Grids and Their IT System by Cosimulation

An Approach to Design Smart Grids and Their IT System by Cosimulation

Co-simulation of FMUs and Distributed Applications with SimGrid

OMSimulator - Integrated FMI and TLM-based Co-simulation with Composite Model Editing and SSP

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