The FMI&amp;#x002B;&amp;#x002B; library: A high-level utility package for FMI for model exchange

Widl, E.; Müller, W; Elsheikh, Atiyah; Hörtenhuber, Matthias; Pálenský, Peter

doi:10.1109/mscpes.2013.6623316

Cited by 29 publications

(21 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Future extensions of the standard may solve this issue. Nevertheless, FMUs are supported by various generic and tool-specific co-simulation approaches (e. g. [5,32]), partly thanks to utility software like the FMI++ toolbox [44].…”

Section: Standards and Toolsmentioning

confidence: 99%

Future perspectives of co-simulation in the smart grid domain

Steinbrink

Schlögl

Babazadeh

et al. 2018

2018 IEEE International Energy Conference (ENERGYCON)

View full text Add to dashboard Cite

The recent attention towards research and development in cyber-physical energy systems has introduced the necessity of emerging multi-domain co-simulation tools. Different educational, research and industrial efforts have been set to tackle the co-simulation topic from several perspectives. The majority of previous works has addressed the standardization of models and interfaces for data exchange, automation of simulation, as well as improving performance and accuracy of co-simulation setups. Furthermore, the domains of interest so far have involved communication, control, markets and the environment in addition to physical energy systems. However, the current characteristics and state of co-simulation testbeds need to be re-evaluated for future research demands. These demands vary from new domains of interest, such as human and social behavior models, to new applications of co-simulation, such as holistic prognosis and system planning. This paper aims to formulate these research demands that can then be used as a road map and guideline for future development of co-simulation in cyber-physical energy systems.

show abstract

Section: Standards and Toolsmentioning

confidence: 99%

Future perspectives of co-simulation in the smart grid domain

Steinbrink

Schlögl

Babazadeh

et al. 2018

2018 IEEE International Energy Conference (ENERGYCON)

View full text Add to dashboard Cite

show abstract

“…Various efforts in combining simulation models and tools, both on a per-tool basis and via dedicated standards, have already been conducted [2,[6][7][8][9][10][11]. In general, standard-based couplings reduce the effort of tool-specific links and support a generic method beyond a specific use case [6].…”

Section: Related Workmentioning

confidence: 99%

Model-Based Virtual Components in Event-Based Controls: Linking the FMI and IEC 61499

et al. 2020

Self Cite

View full text Add to dashboard Cite

Various development and validation methods for cyber-physical systems such as Controller-Hardware-in-the-Loop (C-HIL) testing strongly benefit from a seamless integration of (hardware) prototypes and simulation models. It has been often demonstrated that linking discrete event-based control systems and hybrid plant models can advance the quality of control implementations. Nevertheless, high manual coupling efforts and sometimes spurious simulation artifacts such as glitches and deviations are observed frequently. This work specifically addresses these two issues by presenting a generic, standard-based infrastructure referred to as virtual component, which enables the efficient coupling of simulation models and automation systems. A novel soft real-time coupling algorithm featuring event-accurate synchronization by extrapolating future model states is outlined. Based on considered standards for model exchange (FMI) and controls (IEC 61499), important properties such as real-time capabilities are derived and experimentally validated. Evaluation demonstrates that virtual components support engineers in efficiently creating C-HIL setups and that the novel algorithm can feature accurate synchronization when conventional approaches fail.

show abstract

“…To facilitate the handling of FMUs, the FMI++ toolbox has been developed [20]. It provides a more high-level set of interface functions that is still usable by a variety of master algorithms.…”

Section: Co-simulation Of Cpes Using Mosaik and Fmimentioning

confidence: 99%

Cyber-physical energy systems modeling, test specification, and co-simulation based testing

Meer

Pálenský

Heussen

et al. 2017

2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES)

View full text Add to dashboard Cite

Abstract-The gradual deployment of intelligent and coordinated devices in the electrical power system needs careful investigation of the interactions between the various domains involved. Especially due to the coupling between ICT and power systems a holistic approach for testing and validating is required. Taking existing (quasi-) standardised smart grid system and test specification methods as a starting point, we are developing a holistic testing and validation approach that allows a very flexible way of assessing the system level aspects by various types of experiments (including virtual, real, and mixed lab settings). This paper describes the formal holistic test case specification method and applies it to a particular co-simulation experimental setup. The various building blocks of such a simulation (i.e., FMI, mosaik, domain-specific simulation federates) are covered in more detail. The presented method addresses most modeling and specification challenges in cyber-physical energy systems and is extensible for future additions such as uncertainty quantification.

show abstract

The FMI++ library: A high-level utility package for FMI for model exchange

Cited by 29 publications

References 7 publications

Future perspectives of co-simulation in the smart grid domain

Future perspectives of co-simulation in the smart grid domain

Model-Based Virtual Components in Event-Based Controls: Linking the FMI and IEC 61499

Cyber-physical energy systems modeling, test specification, and co-simulation based testing

Contact Info

Product

Resources

About