Abstract
The transition of the power system to more decentralized power plants and intelligent devices in a smart grid leads to a significant rise in complexity. For holistic and integrated designing and testing of new technologies before their implementation in the field co-simulation is an important approach. It allows to couple diverse software simulation components from different domains for prototyping, but also to couple hardware devices in other testing approaches such as Hardware-in-the-Loop (HIL) and remote laboratory coupling, which enable more complete, realistic, and reproducible validation testing. In the planning and evaluation of co-simulation scenarios, experts from different domains have to collaborate. To assist the stakeholder in this process, we propose to integrate on the one hand semantics of simulation components, their exchanged data and on the other hand domain knowledge in the planning, execution, and evaluation of interdisciplinary co-simulation based on ontologies. This approach aims to allow the high-level planning of simulation and the seamless integration of its information to simulation scenario specification, execution and evaluation. Thus, our approach intents to improve the usability of large-scale interdisciplinary hardware and software co-simulation scenarios.
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Acknowledgements
The research project’NEDS – Nachhaltige Energieversorgung Niedersachsen’ acknowledges the support of the Lower Saxony Ministry of Science and Culture through the’Niedersächsisches Vorab’ grant program (grant ZN3043).
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Schwarz, J.S., Elshinawy, R., Ramírez Acosta, R.P., Lehnhoff, S. (2020). Ontological Integration of Semantics and Domain Knowledge in Hardware and Software Co-simulation of the Smart Grid. In: Fred, A., Salgado, A., Aveiro, D., Dietz, J., Bernardino, J., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2019. Communications in Computer and Information Science, vol 1297. Springer, Cham. https://doi.org/10.1007/978-3-030-66196-0_13
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