Stud.IP Uni Oldenburg
University of Oldenburg
13.10.2019 21:57:04
inf511 - Smart Grid Management (Complete module description)
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Module label Smart Grid Management
Module code inf511
Credit points 6.0 KP
Workload 180 h
Faculty/Institute Department of Computing Science
Used in course of study
  • Master's Programme Business Informatics (Master) >
  • Master's Programme Computing Science (Master) >
  • Master's Programme Engineering Physics (Master) >
  • Master's Programme Environmental Modelling (Master) >
  • Master's Programme Postgraduate Programme Renewable Energy (Master) >
Contact person
Module responsibility
Authorized examiners
Entry requirements
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
Module contents
Content of the Module: In this course information technology, economical energy industry and technical basic knowledge and methods are analysed by using concrete Smart Grid approaches.
The basic calculation methods for an intelligent grid management are introduced.

This module deals with the technical and economical framework for a permissable electrical network as well as mathematical modelling and calculation methods to analyse conditions of electrical energy networks (in stationary conditions).
These are:
  • The organisation of the EU energy market (regulatory framework, responsibility in liberalisation of electrical energy systems)
  • Establishment and operation of electrical energy supply networks (network topology, statutory duties of supply, supply quality/system services, malfunctions and protection systems)
  • Network calculation (complex vector representation, effective/idle power, mathematical performance models/net model, transformation: node performance to node voltage and electricity, calculation of conductive current, current flow, fix-point-iteration, Newton-Raphson-Method, voltage drop, transformer model)

  • Intelligent network management (Smart Grids), aggregation forms, machine learning approaches)
Reader's advisory
Suggested reading:
  • Crastan V.: "Elektrische Energieversorgung II", Springer 2004
  • Heuck K., Dettman K. D., Schulz D.: "Elektische Energieversorgung I", 7. Aufl., Vieweg 2007
  • Konstantin, P.: "Praxisbuch Energiewirtschaft", Springer 2006
  • Schwab, A.: "Elektroenergiesysteme, Springer 2009
Links
Language of instruction English
Duration (semesters) 1 Semester
Module frequency jährlich
Module capacity unlimited
Modullevel AS (Akzentsetzung / Accentuation)
Modulart je nach Studiengang Pflicht oder Wahlpflicht
Lern-/Lehrform / Type of program V+Ü
Vorkenntnisse / Previous knowledge
Course type Comment SWS Frequency Workload attendance
Lecture 3.00 SuSe 42 h
Exercises 1.00 SuSe 14 h
Total time of attendance for the module 56 h
Examination Time of examination Type of examination
Final exam of module
At the end of the semester
Oral exam