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227-0530-00L 6 Credits MSC D-ITET , D-MAVT
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Optimization in Energy Systems

Lecturers & Examiners: Prof. Dr. Gabriela Hug
VVZ CR 4.6

Last Updated: 2026-06-01 11:33:22

Abstract

The course covers various aspects of optimization with a focus on applications to energy networks. Throughout the course, concepts from optimization theory are introduced followed by practical applications of the discussed approaches. A student project in the second half of the course is an integrative part of the course.

Objective

After this class, the students should have a good handle on how to approach a research question which involves optimization and implement and solve the resulting optimization problem by choosing appropriate tools.

Content

In our everyday’s life, we always try to take the decision which results in the best outcome. But how do we know what the best outcome will be? What are the actions leading to this optimal outcome? What are the constraints? These questions also have to be answered when controlling a system such as energy systems. Optimization theory provides the opportunity to find the answers by using mathematical formulation and solution of an optimization problem. The course covers various aspects of optimization with a focus on applications to energy networks. Throughout the course, concepts from optimization theory are introduced followed by practical applications of the discussed approaches. The applications are focused on the Optimal Power Flow problem which is formulated and solved to find optimal device settings in the electric power grid and other relevant energy scheduling problems. On the theoretical side, the formulation and solving of unconstrained and constrained optimization problems, multi-time step optimization and stochastic optimization are discussed. The last few weeks of the semester are spent on student projects.

General Information

Language
English
Levels
MSC
Frequency
Yearly recurring

Examination

Type
session examination
Mode
written 120 minutes
Aids
None
Mandatory student project. Grading: 40% of final grade.

Course Components

Type Title Time & Place Hours
lecture with exercise Optimization in Energy Systems
  • Mon 14:15-18:00 (HG D 5.2)
  • 31.03 Date 16:15-18:00 (HG F 26.1)
  • 31.03 Date 16:15-18:00 (HG F 26.3)
  • 14.04 Date 14:15-18:00 (HG D 3.1)
  • 14.04 Date 14:15-18:00 (HG D 3.3)
  • 19.05 Date 12:15-14:00 (HG D 5.2)
  • 19.05 Date 14:15-18:00 (HG D 5.1)
  • 25.08 Date 10:15-12:00 (HG D 5.2)
4 h weekly

Offered In