The Modelica Language and the FMI Standard for Modeling and Simulation of Smart Grids

Chilard, Olivier; Boes, Jérémy; Perles, Alexandre; Camilleri, Guy; Gleizes, Marie-Pierre; Tavella, Jean-Philippe; Croteau, Dominique

doi:10.3384/ecp15118189

Cited by 7 publications

(4 citation statements)

References 4 publications

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“…These environments are responsible for transforming graphical models into efficient simulation code using symbolic algorithms for manipulating and simplifying resulting large-scale equation systems [25]. In the field of CPEPS, the paper [26] presented the electrical components adapted to Smart Grid simulation based on Modelica language and the FMI standards. In the similar topic, the authors in [27] emphasized the focus on possibilities to exploit Modelica and FMI technologies through the rapid toolbox and the power system library in Modelica for power system model identification.…”

Section: Non-real-time Co-simulationmentioning

confidence: 99%

Exploring Cyber-Physical Energy and Power System: Concepts, Applications, Challenges, and Simulation Approaches

Pham

2022

Energies

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With the advancement of data-acquisition systems, information technology, and network technologies, the energy and power system has entered the deep integration of the cyber and physical sides as known as cyber-physical energy and power system (CPEPS) leading to more attention from researchers and practitioners in industry. The feedback loops in which physical processes affect cyber parts and vice versa, therefore, can gain greater efficiency, resilience, and intelligence through the data exchange process between two layers. The concept of CPEPS has been existed for a long time and its applications are gradually increasing in the real world, however, there has been still many potential risks and challenges in the research and development process. Simulation method is a common and simple approach for the purpose of analyzing, evaluating, and considering solutions before actual implementation. For this purpose, this paper provides first the framework of CPEPS, and current applications and challenges that researchers are facing. Then, the next section is the overview of simulation methods with different software and tools in CPEPS research in order to provide researchers with an optimal approach to the ongoing and further research towards the transition of digitalization on energy and power system.

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Section: Non-real-time Co-simulationmentioning

confidence: 99%

Exploring Cyber-Physical Energy and Power System: Concepts, Applications, Challenges, and Simulation Approaches

Pham

2022

Energies

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“…In other words, researchers need to be able to assess whether a simulation tool can be employed in a co-simulation and, if yes, in which context. While standards such as FMI [100,101] provide a first approach at facing this challenge, many problems in simulator interoperability are yet to be solved, e.g., model interaction in terms of temporal resolution, accuracy or synchronization needs.…”

Section: Validation and Testingmentioning

confidence: 99%

Applying the Smart Grid Architecture Model for Designing and Validating System-of-Systems in the Power and Energy Domain: A European Perspective

et al. 2019

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The continuously increasing complexity of modern and sustainable power and energy systems leads to a wide range of solutions developed by industry and academia. To manage such complex system-of-systems, proper engineering and validation approaches, methods, concepts, and corresponding tools are necessary. The Smart Grid Architecture Model (SGAM), an approach that has been developed during the last couple of years, provides a very good and structured basis for the design, development, and validation of new solutions and technologies. This review therefore provides a comprehensive overview of the state-of-the-art and related work for the theory, distribution, and use of the aforementioned architectural concept. The article itself provides an overview of the overall method and introduces the theoretical fundamentals behind this approach. Its usage is demonstrated in several European and national research and development projects. Finally, an outlook about future trends, potential adaptations, and extensions is provided as well.

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“…We developed a model of the electrical grid with the Modelica language (Chilard et al, 2015). Modelica is an object-oriented language used for the modeling of component-based systems.…”

Section: Electrical Domain Model and Fmu (Step 2)mentioning

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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The Modelica Language and the FMI Standard for Modeling and Simulation of Smart Grids

Cited by 7 publications

References 4 publications

Exploring Cyber-Physical Energy and Power System: Concepts, Applications, Challenges, and Simulation Approaches

Exploring Cyber-Physical Energy and Power System: Concepts, Applications, Challenges, and Simulation Approaches

Applying the Smart Grid Architecture Model for Designing and Validating System-of-Systems in the Power and Energy Domain: A European Perspective

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

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