inf516 - Distributed Operation in Digitalised Energy Systems

inf516 - Distributed Operation in Digitalised Energy Systems

Department of Computing Science 6 KP
Module components Semester courses Wintersemester 2022/2023 Examination
Lecture
  • No access 2.01.516 - Agentenbasierte Verfahren in Energiesystemen Show lecturers
    • Prof. Dr. Astrid Nieße
    • Torge Wolff, M. Sc.

    Wednesday: 08:15 - 09:45, weekly (from 26/10/22), V
    Thursday: 16:15 - 17:45, weekly (from 27/10/22), Ü
    Dates on Friday, 10.02.2023 08:00 - 12:00, Monday, 06.03.2023 15:00 - 17:00, Friday, 10.03.2023 08:00 - 16:00
Exercises
  • No access 2.01.516 - Agentenbasierte Verfahren in Energiesystemen Show lecturers
    • Prof. Dr. Astrid Nieße
    • Torge Wolff, M. Sc.

    Wednesday: 08:15 - 09:45, weekly (from 26/10/22), V
    Thursday: 16:15 - 17:45, weekly (from 27/10/22), Ü
    Dates on Friday, 10.02.2023 08:00 - 12:00, Monday, 06.03.2023 15:00 - 17:00, Friday, 10.03.2023 08:00 - 16:00
Hinweise zum Modul
Prerequisites

Fundamentals of Optimization, Fundamentals of Digitized Energy Systems
Kapazität/Teilnehmerzahl 50
Prüfungszeiten

In the current semester and at the end of the event
Module examination

Portfolio or oral exam or written exam
Skills to be acquired in this module

After successful completion of this course, the students are able to analyze an application problem in cyber-physical energy systems to decide whether a distributed optimization approach could be usefully applied. Fundamentals of self-organizing systems are understood and can be transferred to specific applications.
Furthermore, the basic concepts of distributed methods can be applied safely and transferred to an application case.
Professional competence
The students:

  • will be familiar with the basic concepts of distributed optimization and agent systems mentioned above


Methological competence
The students:

  • will be able to present the fundamental concepts of distributed optimization and agent systems mentioned above and apply them to applicationproblems in CPES


Social competence
The students:

  • create solutions in small teams
  • present and discuss their solutions
  • reflect the solutions of others in a constructive manner


Self competence
The students:

critically questionthe application of learned methods to a real-world problem

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