Stud.IP Uni Oldenburg
University of Oldenburg
20.10.2021 13:13:38
inf511 - Smart Grid Management (Course overview)
Department of Computing Science 6 KP
Module components Semester courses Sommersemester 2017 Examination
Lecture
  • No access 2.01.511 - Smart Grid Management Show lecturers
    • Prof. Dr. Sebastian Lehnhoff
    • Astrid Niesse
    • Dr. Jörg Bremer

    Monday: 08:00 - 10:00, weekly (from 03/04/17), Vorlesung
    Thursday: 08:00 - 10:00, weekly (from 06/04/17)
    Dates on Tuesday. 11.07.17 13:00 - 17:00, Friday. 14.07.17 12:00 - 16:00, Monday. 17.07.17 10:00 - 13:00, Wednesday. 19.07.17, Tuesday. 25.07.17 10:00 - 15:00, Thursday. 27.07.17 09:00 - 12:00

    Beachten Sie bitte die Informationen der Veranstaltung im Stud.IP

Exercises
  • No access 2.01.511 - Smart Grid Management Show lecturers
    • Prof. Dr. Sebastian Lehnhoff
    • Astrid Niesse
    • Dr. Jörg Bremer

    Monday: 08:00 - 10:00, weekly (from 03/04/17), Vorlesung
    Thursday: 08:00 - 10:00, weekly (from 06/04/17)
    Dates on Tuesday. 11.07.17 13:00 - 17:00, Friday. 14.07.17 12:00 - 16:00, Monday. 17.07.17 10:00 - 13:00, Wednesday. 19.07.17, Tuesday. 25.07.17 10:00 - 15:00, Thursday. 27.07.17 09:00 - 12:00

    Beachten Sie bitte die Informationen der Veranstaltung im Stud.IP

Notes for the module
Time of examination
At the end of the semester
Module examination
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