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
Intelligent Electrical Power Grids - a.k.a. Smart Grids - are the "smartified" version of our electricity infrastructure. By adding controls, communication, and other digital elements these grids are expected to be more flexible, robust, efficient, and capable in order to satisfy the requirements of the future: hosting more renewable sources, catering for an active demand side, or implementing flexible peer-to-peer energy markets.
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.
You will use various modeling and simulation tools to investigate the properties of smart power grids. Each practical results in a (very) short report. In the end, an electronic exam will be done.
This course is part of the Power track of the SET master and can also be chosen by EE master students.
The SET Power Linkage course is HIGHLY recommended! You should be able to do its chapter 7 with real ease (for that you need to be really fit in chapters 0, 1, 2, 5, and 6 as well!).
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
The course is organized in 9 units.
1 Power System Analysis
2 Integrating Renewable Energy
3 Modeling Smart Grids
4 Electric Models in Modelica Tutorial 1
5 Electric Models in Modelica Tutorial 2
6 Power System Dynamics
7 Automation Networks
9 Smart Grid Cyber Security
Literature and Study Materials
The grade is formed based on the following elements:
50% Assignment reports (in time!)
50% Online MapleTA multiple choice Exam

In order to successfully complete the course you need to will need to score 60% out of 100% in the final grade. All assignments and the reports are mandatory. Practical reports are due until 24h before the next lecture.