Abstract | ||
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Smart Grids rely on the use of ICT for managing large numbers of active components and sensors to keep demand and generation of electricity at equilibrium while operating multiple resources within their operational limits. Due to the distributed nature of these resources, their heterogeneity as well as their sheer number, is a challenging task. Control strategies as well as novel paradigms need to be developed and thoroughly evaluated through extensive simulations. In order to yield scientifically sound and reliable results, these simulations have to rely on valid and (ideally) established models, e.g., from industry. Therefore, it is desirable to reuse these models as often as possible by combining them into new, potentially large-scale test scenarios. The introduced mosaik framework presents a flexible architecture as well as a powerful modeling and specification language to automate the process of composing existing models and simulation platforms into large-scale simulation scenarios. |
Year | DOI | Venue |
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2013 | 10.1109/ISGTEurope.2013.6695486 | Innovative Smart Grid Technologies Europe |
Keywords | Field | DocType |
demand side management,distributed power generation,multi-agent systems,power generation control,smart power grids,specification languages,ICT,active components management,agent-based smart grid control evaluation,distributed energy resource,distributed generation,electricity demand,electricity generation,flexible architecture,modeling language,operational limits,process automation,sensors,specification language,Composition,ICT,Integration,Modeling,Simulation,Smart Grid Control | Specification language,Architecture,Smart grid,Reuse,Multi-agent system,Real-time computing,Scenario testing,Information and Communications Technology,Modular design,Engineering,Distributed computing | Conference |
ISSN | Citations | PageRank |
2165-4816 | 9 | 0.85 |
References | Authors | |
5 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rohjans, S. | 1 | 33 | 2.99 |
Lehnhoff, S. | 2 | 40 | 5.89 |
Schutte, S. | 3 | 9 | 0.85 |
Scherfke, S. | 4 | 9 | 0.85 |