inf511 - Smart Grid Management (Complete module description)

inf511 - Smart Grid Management (Complete module description)

Original version English PDF download
Module label Smart Grid Management
Module code inf511
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Computing Science
Applicability of the module
  • Master's Programme Business Informatics (Master) > Akzentsetzungsmodule der Informatik
  • Master's Programme Computing Science (Master) > Angewandte Informatik
  • Master's Programme Engineering Physics (Master) > Schwerpunkt: Renewable Energies
  • Master's Programme Environmental Modelling (Master) > Mastermodule
  • Sustainable Renewable Energy Technologies (Master) > Mastermodule
Responsible persons
  • Lehnhoff, Sebastian (module responsibility)
  • Lehrenden, Die im Modul (authorised to take exams)
Prerequisites

No participant 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)
Recommended reading

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
Teaching/Learning method V+Ü
Type of course Comment SWS Frequency Workload of compulsory attendance
Lecture 3 SuSe 42
Exercises 1 SuSe 14
Total module attendance time 56 h
Examination Prüfungszeiten Type of examination
Final exam of module

At the end of the semester

written or oral exam