Course Overview

Operating a complex system such as the power grid requires making informed decisions under uncertainty and risk, whether defining optimal market clearing for electricity and ancillary services, identifying strategic bidding strategies for producers, or determining long-term investments for grid operators. In each case, decision-makers must ask: What is the best possible outcome? What actions lead to it? What are the trade-offs and constraints? This course equips students with the tools to answer these questions by introducing the fundamental principles of optimization techniques, with a focus on their application to real-world decision-making problems in power systems.

Main Goal

Students will gain a deep understanding of linear programming and convex optimization, duality theory, complementarity modelling, and optimization techniques under uncertainty, and learn how to apply these tools to a range of real-world challenges in power systems.

Skills To Be Gained

The course emphasizes computational thinking and model-based reasoning as foundational skills for formulating and solving decision-making problems using mathematical optimization.

Practical Notes

Contact details: lemitri@dtu.dk