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Data and Forecasting in Microgrids
Teaching Unit (for year 1):
Smart and flexible energy management
Face-to-face time
30hours
30
Student workload
50hours
50
ECTS
3
3
Responsible Teacher
Bertrand CORNELUSSE
University of Liège
EE&CS Department
Pedagogic Team
Bastien EWBANK
University of Liège
Aims of the teaching
A microgrid is a small electrical network composed of decentralized energy resources, loads, and energy storage devices. It is controlled and operated locally. It can connect or disconnect from the main grid.
A microgrid is run by multiple controllers because there are several levels of control, which differ by their spatial and temporal scopes. Next to technological advances in production, consumption, and storage, controllers are crucial elements for advanced microgrids.
In this course, we apply optimization and machine learning to microgrid optimal control, optimal design, and forecasting.
Intended Learning outcomes (measured by the assessment)
Learning activities and approach
E-learning (online)
None
Lectures (onsite)
Short lectures given by teachers belonging to the pedagogic team.
Tutorials (onsite)
Implementation projects with the help of the pedagogic team.
Useful information
Location
Practical work equipment
Implementation of algorithms on a personal computer.
Other information
Assessment method
Projects along the week and at home.
Related literature
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