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Co-Simulation of a cellular energy system

Citation Link: https://doi.org/10.15480/882.8559
Publikationstyp
Journal Article
Date Issued
2023-08-24
Sprache
English
Author(s)
Venzke, Marcus  orcid-logo
Telematik E-17  
Shudrenko, Yevhenii  orcid-logo
Kommunikationsnetze E-4  
Youssfi, Amine  
Telematik E-17  
Steffen, Tom  
Elektrische Energietechnik E-6  
Turau, Volker  
Telematik E-17  
Becker, Christian  orcid-logo
Elektrische Energietechnik E-6  
TORE-DOI
10.15480/882.8559
TORE-URI
https://hdl.handle.net/11420/43259
Journal
Energies  
Volume
16
Issue
17
Article Number
6150
Citation
Energies 16 (17): 6150 (2023-08-24)
Publisher DOI
10.3390/en16176150
Scopus ID
2-s2.0-85170519641
Publisher
Multidisciplinary Digital Publishing Institute
The concept of cellular energy systems of the German Association for Electrical, Electronic & Information Technologies (VDE) proposes sector coupled energy networks for energy transition based on cellular structures. Its decentralized control approach radically differs from that of existing networks. Deeply integrated information and communications technologies (ICT) open opportunities for increased resilience and optimizations. The exploration of this concept requires a comprehensive simulation tool. In this paper, we investigate simulation techniques for cellular energy systems and present a concept based on co-simulation. We combine simulation tools developed for different domains. A classical tool for studying physical aspects of energy systems (Modelica, TransiEnt library) is fused with a state-of-the-art communication networks simulator (OMNeT++) via the standardized functional mock-up interface (FMI). New components, such as cell managers, aggregators, and markets, are integrated via remote procedure calls. A special feature of our concept is that the communication simulator coordinates the co-simulation as a master and integrates other components via a proxy concept. Model consistency across different domains is achieved by a common description of the energy system. Evaluation proves the feasibility of the concept and shows simulation speeds about 20 times faster than real time for a cell with 111 households.
DDC Class
621: Applied Physics
Funding(s)
I³-Project - Cyber Physical Energy Systems - Sustainability, Resilience and Economics  
Open-Access-Publikationskosten / 2022-2024 / Technische Universität Hamburg (TUHH)  
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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