2024-2025 / ELEC0448-1

Planning and operation of electric power and energy systems

Duration

26h Th, 26h Pr

Number of credits

 Master Msc. in electrical engineering, professional focus in "Smart grids"5 crédits 
 Master Msc. in Energy Engineering, professional focus in Networks5 crédits 

Lecturer

Bertrand Cornélusse, Damien Ernst, Louis Wehenkel

Coordinator

Louis Wehenkel

Language(s) of instruction

English language

Organisation and examination

Teaching in the second semester

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

The course aims at introducing theoretical problem formulations and practical solution approaches for the large diversity of design and control problems of small and very large electric power and energy grids and systems, while highlighting opportunities for improvements, research and further developments. The course is organized along the following sequence of topics.

  • Design and control of microgrids
  • Planning and operation of active distribution systems
  • Planning and operation of large-scale transmission systems
  • Technico-economic integration: from micro-grids to the global grid
  • Organizational integration: who does what TSOs, DSOs, MOs, retailers...
 

Learning outcomes of the learning unit

At the end of the course, the student will understand what are the main control, operation, design and planning problems faced by the stakeholders in power and energy systems. He will also understand which solution technique is adapted to each one of these problems, what are their advantages and limitations, and what are the main open research questions.


This course contributes to the learning outcomes I.1, I.2, II.1, II.2, III.1, III.2, IV.1, IV.6, VI.1, VI.2, VII.1, VII.3, VII.5, VII.6 of the MSc in electrical engineering.

Prerequisite knowledge and skills

The student must understand the concepts and physics of electric power and energy systems, and have a solid foundation in optimization and computer programming. Background in Machine learning is a plus.

Planned learning activities and teaching methods

The course is dispensed in the form of lectures by the professors, completed by reading assignments to the students. Each assignment corresponds to a scientific paper that will be presented by a group of students and discussed in class.

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course

Course materials and recommended or required readings

Slides, and scientific papers (provided each year to the students by the professors)

Exam(s) in session

Any session

- In-person

oral exam


Additional information:

The active participation of the students in the context of the course, and their presentations of scientific articles during the quarter when the course is tought (40%) and a final oral exam (60%).

Work placement(s)

None
   
   

Organisational remarks and main changes to the course

Further details and course materials will be provided on the Course web page which content will be refreshed on regular basis.
   
   

Contacts

Contact preferably  Louis Wehenkel to ask questions or plan a meeting.
Backup contacts: Bertrand Cornélusse or Damien Ernst .
   
   

Association of one or more MOOCs