227-0530-00L  Optimization in Energy Systems

 Semester Spring Semester 2019 Lecturers G. Hug, H. Abgottspon, M. Densing Periodicity yearly recurring course Language of instruction English

Courses

NumberTitleHoursLecturers
227-0530-00 GOptimization in Energy Systems4 hrs
 Mon 13:15-17:00 HG D 5.2 »
G. Hug, H. Abgottspon, M. Densing

Catalogue data

 Abstract The course covers various aspects of optimization with a focus on applications to energy networks and scheduling of hydro power. Throughout the course, concepts from optimization theory are introduced followed by practical applications of the discussed approaches. 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 1) the Optimal Power Flow problem which is formulated and solved to find optimal device settings in the electric power grid and 2) the scheduling problem of hydro power plants which in many countries, including Switzerland, dominate the electric power generation. On the theoretical side, the formulation and solving of unconstrained and constrained optimization problems, multi-time step optimization, stochastic optimization including probabilistic constraints and decomposed optimization (Lagrangian and Benders decomposition) are discussed.

Performance assessment

 Performance assessment information (valid until the course unit is held again) Performance assessment as a semester course ECTS credits 6 credits Examiners G. Hug, H. Abgottspon, M. Densing Type session examination Language of examination English Repetition The performance assessment is offered every session. Repetition possible without re-enrolling for the course unit. Mode of examination written 180 minutes Written aids 6 DIN A4 pages (3 sheets front and back, handwritten), Calculator with no communication or document storage capabilities. This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

 No public learning materials available. Only public learning materials are listed.

Groups

 No information on groups available.

Restrictions

 There are no additional restrictions for the registration.

Offered in

ProgrammeSectionType
Electrical Engineering and Information Technology MasterCore SubjectsW
Electrical Engineering and Information Technology MasterAdvanced Core CoursesW
Electrical Engineering and Information Technology MasterRecommended SubjectsW
Electrical Engineering and Information Technology MasterRecommended SubjectsW
Electrical Engineering and Information Technology MasterSpecialization CoursesW
Energy Science and Technology MasterElectrical Power EngineeringW
Energy Science and Technology MasterElectrical Power EngineeringW