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  • DE
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      • Co-Simulation of Multi-Modal Energy Systems
      • Distributed Artificial Intelligence
        • Transparency und acceptance of self-x-systems
        • Models for agent-based flexibility management
        • Open Science – freely available and open source scientific results
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      • Energy-efficient Smart Cities
      • Power Systems Intelligence
      • Resilient Monitoring and Control
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    • Technology training
    • Contract development
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    • Applied Artificial Intelligence (AAI)
      • Adversarial Resilience Learning (E)
    • Architecture Frameworks (AF)
    • Cyber-Resilient Architectures and Security (CRAS)
    • Embedded System Design (ESD)
    • Human Machine Cooperation (HMC)
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    • Safety Relevant Cyber Physical Systems (SRCPS)
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  1. Home
  2. Applications
  3. Energy
  4. Distributed Artificial Intelligence

Distributed Artificial Intelligence The resilient and optimized operation of fully renewable and digitalized energy systems requires new paradigms in system operations. Intelligent multi-agent systems with self-x properties are therefore the focus of the work of the Distributed Artificial Intelligence (DAI) group.

The complete conversion of our energy supply to renewable energies is a central challenge of our time and an indispensable contribution to climate protection and energy autonomy. To achieve this, not only must the generation and consumption of energy be reconciled on the market, but energy systems must also be operated reliably and efficiently. With increasing digitalization, the historically evolved energy supply structures are becoming a complex and dynamic cyber-physical energy system in which thousands of components interact with each other. The digital systems must be able to adapt to different operating conditions and compensate for faults in operation as independently as possible, while meeting the requirements and needs of human users in a trustworthy manner.

Vision: self-organising, self-optimising and self-healing cyber-physical energy systems

The DAI group is therefore working on enhancing the distributed components of a cyber-physical energy system with intelligence and autonomy and networking them with each other based on concepts of the so-called Organic Computing. In research and development projects, we investigate the possibilities and limits of self-organising, self-optimising and self-healing cyber-physical energy systems.

Our main research topics

In the context of these characteristics of digitalized systems, collectively referred to as "self-x properties," we address the following key issues:

Resilient Self-X-Systems

Resilience is a system's ability to quickly restore stable system operation and become more robust to disruptions in the long term.

Learning in Self-X-Systems

The ability of agents to learn is a basic prerequisite for adapting system behaviour to new or changing conditions.

Transparency and Acceptance of Self-X-Systems

The acceptance of autonomously deciding, digitalized systems also depends on their ability to explain decisions in a transparent and comprehensible way. Find out more..

Modelling and Agent-based Management of Flexibility

Flexibility is the basis of almost all decision-making processes in digitized energy systems, especially when it comes to the use of decentralized energy plants in the distribution network. Find out more..

Open Science – freely available and open scientific results

As a research group, we are committed to transparent science - Open Science, which makes research results freely and openly available. The artefacts, data and publications we produce should be able to be used collectively and without hurdles in order to improve the quality of research and contribute to progress in society. An essential aspect of this is also the possibility of reproducing research results. Further information..

  • Co-Simulation of Multi-Modal Energy Systems
  • Distributed Artificial Intelligence
    • Transparency und acceptance of self-x-systems
    • Models for agent-based flexibility management
    • Open Science – freely available and open source scientific results
  • Data Integration and Processing
  • Energy-efficient Smart Cities
  • Power Systems Intelligence
  • Resilient Monitoring and Control
  • Standardized Systems Engineering and Assessment
  • Smart Grid Testing

Group Manager

M.Sc. Stefanie Holly
Stefanie Holly, M.Sc.
Dr. rer. nat. Martin Tröschel
Dr. rer. nat.
Martin Tröschel

Persons

F

Emilie Frost

E-Mail: Emilie.Frost(at)offis.de, Phone: +49 441 9722-582, Room: E62

G

Dr. rer. nat. Benjamin Giesers

E-Mail: benjamin.giesers(at)offis.de, Phone: +49 441 9722-747, Room: E128

H

Stefanie Holly

E-Mail: stefanie.holly(at)offis.de, Phone: +49 441 9722-732, Room: E63

Jan Philipp Hörding

E-Mail: jan.philipp.hoerding(at)offis.de, Phone: +49 441 9722-573, Room: E63

O

Frauke Oest

E-Mail: frauke.oest(at)offis.de, Phone: +49 441 9722-137, Room: E88

R

Malin Radtke

E-Mail: malin.radtke(at)offis.de, Phone: +49 441 9722-125, Room: E128

S

Jens Sager

E-Mail: jens.sager(at)offis.de, Phone: +49 441 9722-561, Room: E62

Sanja Stark

E-Mail: sanja.stark(at)offis.de, Phone: +49 441 9722-436, Room: E63

T

Paul Hendrik Tiemann

E-Mail: paul.hendrik.tiemann(at)offis.de, Phone: +49 441 9722-289

Dr. rer. nat. Martin Tröschel

E-Mail: martin.troeschel(at)offis.de, Phone: +49 441 9722-150, Room: E128

W

Torge Wolff

E-Mail: torge.wolff(at)offis.de, Phone: +49 441 9722-216, Room: E63

EN: Alle Personen aus dem Bereich Distributed Artificial Intelligence

Projects

D

DEER

Dezentraler Redispatch (DEER): Schnittstellen für die Flexibilitätsbereitstellung

Duration: 2022 - 2025

I

Int2Grids

Integration von intelligenten Quartiersnetzen in Verbundnetze

Duration: 2020 - 2023

R

REMARK

Resilienz im digitalisierten Stromsystem: Toolbox zur Bewertung von Systemdienstleistungsmärkten

Duration: 2022 - 2024

W

WWNW

WärmewendeNordwest – Digitalisierung zur Umsetzung von Wärmewende- und Mehrwertanwendungen für Gebäude, Campus, Quartiere und Kommunen im Nordwesten

Duration: 2021 - 2025

Publications

2022

Choosing the right model for unified flexibility modeling

Brandt, Jonathan and Frost, Emilie and Ferenz, Stephan and Tiemann, Paul Hendrik and Bensmann, Astrid and Hanke-Rauschenbach, Richard and Nieße, Astrid; Energy Informatics; 2022

DOI BIB
Constraint-based Modeling of Smart Grid Services in ICT-Reliant Power Systems

Oest, Frauke and Lehnhoff, Sebastian; ENERGY 2022, The Twelfth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies; Mai / 2022

URL BIB
Operational flexibility for multi-purpose usage of pooled battery storage systems

Tiemann, Paul Hendrik and Nebel-Wenner, Marvin and Holly, Stefanie and Frost, Emilie and Jimenez Martinez, Adrian and Nieße, Astrid; Energy Informatics; 2022

DOI BIB

2021

A Sketch of Unwanted Gaming Strategies in Flexibility Provision for the Energy System

Buchholz, Sebastian and Tiemann, Paul Hendrik and Wolgast, Thomas and Scheunert, Alexandra and Gerlach, Jana and Majumdar, Neelotpal and Breitner, Michael and Hofmann, Lutz and Nieße, Astrid and Weyer, Harmut; Energy Informatics and Electro Mobility ICT; 2021

BIB
Assumptions on a Distributed and Hierarchical Market Concept for Balancing Reserve Aggregation

Tiemann, Paul Hendrik and Nieße, Astrid; Energy Informatics and Electro Mobility ICT; 2021

BIB
Balancing grid islands with distributed energy resources

Tiemann, Paul Hendrik; Abstracts of the 10th DACH+ Conference on Energy Informatics; 2021

DOI BIB
Battery Storage Demonstration Projects: an Overview across Europe

Divshali, Poria Hasanpor and Mäki, Kari and Evens, Corentin and Papadimitriou, Christina and Efthymiou, Venizelos and Nieße, Astrid and Holly, Stefanie and Marinelli, Mattia and Gabderakhmanova, Tatiana and Meléndez, Joaquim and others; 2021 IEEE PES Innovative Smart Grid Technologies Conference Europe; 2021

BIB
Distributed fitness landscape analysis for cooperative search with domain decomposition

Holly, Stefanie and Nieße, Astrid; IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021); 2021

BIB
Dynamic communication topologies for distributed heuristics in energy system optimization algorithms

Stefanie Holly and Astrid Nieße; 2021 16th Conference on Computer Science and Intelligence Systems (IEEE FedCSIS); 2021

URL DOI BIB
Elektrische Verteilnetze resilient ausbauen – Herausforderungen und Handlungsoptionen

Marius Buchmann, Sanja Stark, Marita Blank-Babazadeh, Christoph Mayer; Zeitschrift für Energiewirtschaft; 12 / 2021

URL DOI BIB
EN: Alle Publikationen aus dem Bereich Distributed Artificial Intelligence
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