Study programme 2024-2025 | Français | ||
Exact Optimization of Energy Systems | |||
Learning Activity |
Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
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I-GELE-041 |
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Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
---|---|---|---|---|---|---|---|
Anglais | Anglais | 24 | 12 | 0 | 0 | 0 | Q2 |
Content of Learning Activity
Course: Introduction to Optimization (definitions, classification of optimization problems, examples in the energy sector), Linear Programming Problems (definitions and examples in the energy sector, the simplex algorithm, duality, sensitivity analysis, complementary slackness), Mixed Integer Linear Programming Problems (definitions and examples in the energy sector, linearization using binary variables, branch-and-bound algorithm), Non Linear Programming Problems (definitions and examples in the energy sector, unconstrained optimization, constrained optimization - with equality and inequality constraints, Lagrangian stationarity, Karush-Kuhn-Tucker optimality conditions)
Labs: the Economic Dispatch Problem with DC network constraints (Linear Programming Problem), the Unit Commitment problem (Mixed Integer Programming Problem), Energy scheduling with non-linear equality constraints (convex relaxations and approximations)
Required Learning Resources/Tools
Course slides
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Not applicable
Mode of delivery
Type of Teaching Activity/Activities
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)
Location of learning activity
Location of assessment