inf5112 - Digitalised Energy System Modeling and Control (Course overview)

inf5112 - Digitalised Energy System Modeling and Control (Course overview)

Department of Computing Science 6 KP
Module components Semester courses Summer semester 2025 Examination
Lecture
Exercises
Notes on the module
Prerequisites

No participant requirements
Prüfungszeiten

At the end of the event
Module examination

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

After successful completion of the course the students should be able to understand the existing structures and technical basis of energy systems to produce, transfer and distribute electricity and their interaction and dependency on each other. They should have developed an understanding for necessary IT- and process control technology components, methods and processes to control and operate electrical energy systems. The students are able to estimate and evaluate the requirements and challenges of ICT and computer science which are caused by the development and integration of unforeseable fluctuations of decentralised plants.
The students will be able to estimate the influence of distributed control concepts and algorithms for decentralised plants and consumers in the so called Smart Grid energy systems. Regarding the requirements, the students will be able to analyse the safety, reliability, realtime capability and flexibility of Smart Grid energy systems.

Professional competence
The students:

  • understand the existing structures and the technical basis of energy systems producing, transferring and distributing electricity and their interaction and dependency on each other.
  • develop an understanding for necessary IT- and process control technology components, methods and processes to control and operate electrical energy systems.
  • estimate and evaluate the requirements and challenges of ICT and computer science, which are caused by the development, and integration of unforeseeable fluctuations of decentralised plants
  •  estimate the influence of distributed control concepts and algorithms for decentralised plants and
    consumers in the so called Smart Grid energy systems.


Methological competence
The students:

  • analyse the safety, reliability, realtime capability and flexibility of Smart Grid energy systems
  • use advanced mathemtical methods to calculate networks


Social competence
The students:

  • create solutions in small teams
  • discuss their solutions


Self competence
The students:

reflect their own use of the limited resource power