Back to Search Start Over

Cyber-Physical Energy Systems Modeling, Test Specification, and Co-Simulation Based Testing

Authors :
van der Meer, Arjen A.
Palensky, Peter
Heussen, Kai
Bondy, Daniel Esteban Morales
Gehrke, Oliver
Steinbrink, Cornelius
Blank, Marita
Lehnhoff, Sebastian
Widl, Edmund
Moyo, Cyndi
Strasser, Thomas I.
Nguyen, Van Hoa
Akroud, Nabil
Syed, Mazheruddin H.
Emhemed, Abdullah
Rohjans, Sebastian
Brandl, Ron
Khavari, Ata M.
van der Meer, Arjen A.
Palensky, Peter
Heussen, Kai
Bondy, Daniel Esteban Morales
Gehrke, Oliver
Steinbrink, Cornelius
Blank, Marita
Lehnhoff, Sebastian
Widl, Edmund
Moyo, Cyndi
Strasser, Thomas I.
Nguyen, Van Hoa
Akroud, Nabil
Syed, Mazheruddin H.
Emhemed, Abdullah
Rohjans, Sebastian
Brandl, Ron
Khavari, Ata M.
Publication Year :
2017

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.<br />Comment: 2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES)

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1106263581
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1109.MSCPES.2017.8064528