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Veranstaltung

Improving the Resilience: Self-Organized Recovery of Coupled Energy Grids

Am Montag, den 03. November 2025, um 14:15 Uhr hält

Rico Schrage
Universität Oldenburg

im Rahmen seiner beabsichtigten Dissertation einen Vortrag mit dem Titel

Improving the Resilience: Self-Organized Recovery of Coupled Energy Grids

I11, Industriestraße 11, Raum 1-Meet und https://meeting.uol.de/rooms/seb-vqb-mms/join

Der Vortrag wird in Englisch gehalten.

Abstract:
Deploying weather-dependent renewable energy resources in the distribution electricity grid can increase the demand for energy flexibility. Couplings with other energy sectors can help meet this demand, resulting in a multi-energy system. Controlling these coupled grids is challenging due to the diverse requirements of various stakeholders, particularly prosumers, and the significant challenges of operating resiliently in such non-homogeneous grids. The coupling points connecting the different grids may introduce difficulties and opportunities. This is especially true when the grid is affected by high-impact events, which result in lower overall system performance. A self-organized approach is advantageous for coping with such emergencies in this complex system due to its capability to distribute actual grid control while maintaining a decentralized system structure. This approach can be implemented by designing a system in which agents control the different actors.
This thesis contributes to the design and implementation of such a system for grid emergencies. For this, the behavior of agents in a volatile coupled network is analyzed, and different collaborative strategies are evaluated to determine an appropriate approach. In the next step, the multi-energy grid is physically modeled using steady-state equations and analyzed for its resilience properties and the quantification of the resilience. At last, an approach for self-organized recovery is developed. This approach involves topology reconfiguration and a self-organized multi-level sector, as well as cross-sector optimization utilizing gossiping and the alternating direction method of multipliers.
Betreuerin: Prof. Dr. Astrid Nieße

03.11.2025 14:15 – Offenes Ende

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