Implementation of Modelisar Functional Mock-up Interfaces in SimulationX

Noll, Christian; Blochwitz, Torsten; Neidhold, Thomas; Kehrer, Christian

doi:10.3384/ecp11063339

Cited by 5 publications

(2 citation statements)

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“…[8] discusses a generic interface's implementation and technical problems and challenges helping the importation of FMUs into a simulator. [9] describes the implementation of FMI in SimulationX. In [10] an integration strategy for rapid pro-totyping for Modelica models into the FMI standard is presented.…”

Section: Related Workmentioning

confidence: 99%

An Assistance Tool to Design Interoperable Components for Co-simulation

Motie

Nketsa

Truillet

2019

Smart Innovation, Systems and Technologies

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The high number of electronic devices used and their interactions lead us to the transition from a vision of multi-functions systems, used independently, to systems that are actually distributed and scattered in the environment. The heterogeneity of the components constituting some of these systems ultimately leads to call them "complex". When a complex system [1] requires the use of different components specified by different designers working on different domains, this greatly increases the number of virtual prototypes. Unfortunately, these components tend to remain too independent of one another, thus preventing both the designers from collaborating and their system from being interconnected in order to full one or more tasks that could not be performed by one of these elements only. The need for communication and co-operation is necessary and encourages the designer (s) to inter-operate them for the implementation of a co-simulation [2] encouraging dialogue between disciplines and reducing errors, costs and Development time. In this article, we describe an assistance tool in order to generate black-box components, facilitating this design task for novices.

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Section: Related Workmentioning

confidence: 99%

An Assistance Tool to Design Interoperable Components for Co-simulation

Motie

Nketsa

Truillet

2019

Smart Innovation, Systems and Technologies

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“…It has been defined in the industrially led MODELISAR project in coordination with the modelling language Modelica. Thus, FMI is supported by Modelica environments like Dymola [7] or SimulationX [26], but also by independent tools and languages like Matlab and Python. Some tool-specific co-simulation approaches employ FMI as well for interface descriptions in order to facilitate future extensibility of their setups [3].…”

Section: Interfaces For Simulator Abstractionmentioning

confidence: 99%

Simulation-Based Validation of Smart Grids – Status Quo and Future Research Trends

Steinbrink

Lehnhoff

Rohjans

et al. 2017

Lecture Notes in Computer Science

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Smart grid systems are characterized by high complexity due to interactions between a traditional passive network and active power electronic components, coupled using communication links. Additionally, automation and information technology plays an important role in order to operate and optimize such cyber-physical energy systems with a high(er) penetration of fluctuating renewable generation and controllable loads. As a result of these developments the validation on the system level becomes much more important during the whole engineering and deployment process, today. In earlier development stages and for larger system configurations laboratory-based testing is not always an option. Due to recent developments, simulation-based approaches are now an appropriate tool to support the development, implementation, and rollout of smart grid solutions. This paper discusses the current state of simulation-based approaches and outlines the necessary future research and development directions in the domain of power and energy systems.

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