TU Delft
Education Type
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2017/2018 Electrical Engineering, Mathematics and Computer Science Master Sustainable Energy Technology (SET)
Intelligent Electrical Power Grids
Responsible Instructor
Name E-mail
Prof.dr. P. Palensky    P.Palensky@tudelft.nl
Contact Hours / Week x/x/x/x
Education Period
Start Education
Exam Period
Course Language
Expected prior knowledge
Fundamentals of power system analysis (knowledge equivalent to ET3365TU Electrical Power Engineering for SET Master students, and ET4107 Power System Analyses II for EE Master Students)
Course Contents
Smart Grids are electric power systems that are enhanced with information and communication technology to improve their performance, reliability and flexibility. Working with Smart Grids requires knowledge in a variety of disciplines out of electrical engineering, computer science, and mathematics. Of great importance is modeling and simulation, since Smart Grids show a level of complexity and heterogeneity that often can not be covered by analytical methods. In this course you will learn how to describe and assess a Smart Grid, mainly by using numerical tools.
This course is part of the Power track of the SET master and can also be chosen by EE master students.
Study Goals
After this course students are able to
- create a demand/supply matching system, to
- model and simulate a smart grid, to
- specify the design requirements of a SCADA system, and to
- do risk assessment w.r.t. cyber-security of smart grids.

Education Method
This course consists of 8x2h theory lectures and two assignments.
Both assignments cover one and the same Smart Grid use case, but two different tools (PowerFactory and OpenModelica) will be used to describe and analyze them.
For the assignment tools, tutorials will be given during the lecture time.
The lecture units are:
1 Steady state grid performance (power flow, security constraints, OPF, KPIs)
2 Power system dynamics (components, FACTS, KPIs)
3 Demand Side Management
4,5,6 PowerFactory and OpenModelica tutorial
7 SCADA (protocols, PMUs, WAMS)
8 Cyber-security risk assessment

Literature and Study Materials
The final grade consists of the following parts:
Report on Assignment 1 (30%)
Report on Assignment 2 (30%)
Written Test (40%)
For one part may be scored 5,0 as long as the other parts compensate this. All marks will be expressed on a scale of 1 to 10.