Towards an Assisted Simulation Planning for Co-Simulation of Cyber-Physical Energy Systems
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866913559436328960 |
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| author | Schwarz, Jan Sören Steinbrink, Cornelius Lehnhoff, Sebastian |
| author_facet | Schwarz, Jan Sören Steinbrink, Cornelius Lehnhoff, Sebastian |
| contents | Increasing complexity in the power system and the transformation towards a smart grid lead to the necessity of new tools and methods for the development and testing of new technologies. One testing method is co-simulation, which allows coupling simulation components from different domains to test their interaction. Because the manual configuration of complex large-scale co-simulation scenarios can be error-prone, we propose an approach for assisting the user in the development of co-simulation scenarios. Our approach uses an information model, a component catalog implemented in a Semantic Media Wiki, and Semantic Web technologies to assist the high-level modeling of co-simulation scenarios, recommend suitable simulation components, and validate co-simulation scenarios. This assistance aims to improve the usability of co-simulation in the development of interdisciplinary, large-scale scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_16956 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Towards an Assisted Simulation Planning for Co-Simulation of Cyber-Physical Energy Systems Schwarz, Jan Sören Steinbrink, Cornelius Lehnhoff, Sebastian Computational Engineering, Finance, and Science Increasing complexity in the power system and the transformation towards a smart grid lead to the necessity of new tools and methods for the development and testing of new technologies. One testing method is co-simulation, which allows coupling simulation components from different domains to test their interaction. Because the manual configuration of complex large-scale co-simulation scenarios can be error-prone, we propose an approach for assisting the user in the development of co-simulation scenarios. Our approach uses an information model, a component catalog implemented in a Semantic Media Wiki, and Semantic Web technologies to assist the high-level modeling of co-simulation scenarios, recommend suitable simulation components, and validate co-simulation scenarios. This assistance aims to improve the usability of co-simulation in the development of interdisciplinary, large-scale scenarios. |
| title | Towards an Assisted Simulation Planning for Co-Simulation of Cyber-Physical Energy Systems |
| topic | Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2410.16956 |