This course provides an introduction to various optimization problems typically encountered in energy systems and markets. You will learn how to mathematically formulate these problems, implement them in general programming languages, and use approximation and relaxation techniques to improve computational performance.
What you will learn:
- Applying optimization techniques to practical issues.
- Mathematical formulation of optimization problems within energy systems and markets.
- Implementing optimization problems in software tools.
- Selecting the right solvers (solvers) for different types of problems.
- Using relaxations and approaches effectively.
- Analyzing and interpreting complex integrated energy systems with strong sectoral linkages (such as electricity, gas, heat).
- Translating the results of these analyses into policy measures, energy markets and systems.