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  4. Optimized utilization of decentral flexibility for the operational management of cellular multi-modal distribution grids
 
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Optimized utilization of decentral flexibility for the operational management of cellular multi-modal distribution grids

Publikationstyp
Conference Paper
Date Issued
2023-07-04
Sprache
English
Author(s)
Wiegel, Béla  orcid-logo
Elektrische Energietechnik E-6  
Helmrich von Elgott, Lando  
Babazadeh, Davood  orcid-logo
Electrical Power and Energy Technology E-6  
Becker, Christian  orcid-logo
Elektrische Energietechnik E-6  
TORE-URI
https://hdl.handle.net/11420/44073
Start Page
294
End Page
300
Citation
ETG Congress (2023)
Contribution to Conference
ETG Congress 2023  
Publisher Link
https://ieeexplore.ieee.org/document/10172983
Publisher
VDE
ISBN
978-3-8007-6108-1
Future energy systems rely mostly on supplydependent resources like wind and solar energy. Since most of the produced energy from distributed renewable sources arises as electricity, electrification of energy consumers and producers, called prosumers, expands. In this context, multimodal distribution grids make use of the storage capabilities of other energy sectors like heat, and abolish the supply-dependency and uncertainty of the feed-in of decentralized generators. This provides flexibility in the energy system, which increases security of supply and at the same time ensures economical energy provision. The subject of this paper is to exploit the flexibility of such a multi-modal energy system for operation in an optimal way. The cellular approach serves here as the energy system architecture. Aim is to provide flexibility with a cell by optimally distributing a flexibility request to subordinate prosumers changing their active and reactive power. The load change is hereby to be optimally dispatched to the different components of the prosumers under consideration of technical restrictions and dynamic behavior of components, the grids and economical aspects. For dynamic modelling and simulation the open-source modelling language Modelica is used. Using a lowvoltage benchmark model expanded by multi-modal technologies, the proposed methodology shows that the cells are capable of providing flexibility to the overlying grid with high accuracy at low costs.
DDC Class
621: Applied Physics
Funding(s)
I³-Project - Cyber Physical Energy Systems - Sustainability, Resilience and Economics  
Effiziente Einbindung hoher Anteile Erneuerbarer Energien in technisch-wirtschaftlich integrierte Energiesysteme  
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