inf511 - Smart Grid Management

inf511 - Smart Grid Management

Department of Computing Science 6 KP
Module components Semester courses Summer semester 2024 Examination
Lecture
  • Unlimited access 2.01.5112 - Digitalised Energy System Modeling and Control Show lecturers
    • Prof. Dr. Sebastian Lehnhoff
    • Jörg Bremer
    • Malin Radtke, M. Sc.

    Dienstag: 16:00 - 18:00, wöchentlich (from 02/04/24), Location: A14 1-113, V03 0-D002
    Mittwoch: 10:00 - 12:00, wöchentlich (from 17/04/24), Location: A04 2-221
    Dates on Wednesday, 24.07.2024, Friday, 26.07.2024, Wednesday, 31.07.2024, Friday, 02.08.2024 10:00 - 15:00, Wednesday, 07.08.2024 09:00 - 17:00, Location: ((OFFIS O50))
Exercises
  • Unlimited access 2.01.5112 - Digitalised Energy System Modeling and Control Show lecturers
    • Prof. Dr. Sebastian Lehnhoff
    • Jörg Bremer
    • Malin Radtke, M. Sc.

    Dienstag: 16:00 - 18:00, wöchentlich (from 02/04/24), Location: A14 1-113, V03 0-D002
    Mittwoch: 10:00 - 12:00, wöchentlich (from 17/04/24), Location: A04 2-221
    Dates on Wednesday, 24.07.2024, Friday, 26.07.2024, Wednesday, 31.07.2024, Friday, 02.08.2024 10:00 - 15:00, Wednesday, 07.08.2024 09:00 - 17:00, Location: ((OFFIS O50))
Hinweise zum Modul
Prerequisites
No participant requirements
Prüfungszeiten
At the end of the semester
Module examination
written 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.
Methodological 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 electricity as a limited resource

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