inf5112 - Digitalised Energy System Modeling and Control (Complete module description)

No participant requirements

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:

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 net 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)

• Konstantin, P.; Praxisbuch Energiewirtschaft, Springer 2006
• Schwab, A.; Elektroenergiesysteme, Springer 2009
• Kirtley, J.L.; Electric Power Principles, John Wiley & Sons, 2010
• Gremmel, H.; ABB Schaltanlagen-handbuch, Cornelsen 2007
• Lehnhoff, S.: Dezentrales vernetztes Energiemanagement, 2010
• Sutton, R.S.; Barto, A.G.: Reinforcement Learning, MIT Press 1998

At the end of the event

written exam or oral exam