Lecture 1: Market clearing as an optimization problem
Course: Advanced Optimization and Game Theory for Energy Systems
This is an online intense PhD-level course that took place during the first 3 weeks of January 2021 with 120 students from all over the world.
Lecturer: Jalal Kazempour (Technical University of Denmark, DTU)
Slides are available at: www.jalalkazem...
Course description: kurser.dtu.dk/...
Course content (all video lectures are available in this channel):
- Course introduction
- Lecture 1: Market clearing as an optimization problem
- Lecture 2: Market clearing as an equilibrium problem
- Lecture 3: Desirable properties of market-clearing mechanisms
- Lecture 4: Market clearing using a cooperative game approach
- Lecture 5: Stochastic market clearing
- Lecture 6: Robust approaches for market clearing
- Lecture 7: Bilevel programming in energy systems
- Lecture 8: Optimization problems with decomposable structure
- Lecture 9: Benders’ decomposition: Theory
- Lecture 10a: Benders’ decomposition: Applications
- Lecture 10b: Nested Benders’ decomposition
- Lecture 11: Augmented Lagrangian relaxation
- Lecture 12: Variants of ADMM and applications
Пікірлер: 5
I've been looking for a course covering the necessary aspects of optimization in power markets, and this course is amazing! Many thanks to Dr. Kazempour and DTU!
Thank you so much sir for your easy explanation regarding market optimization and related terms
I wish I had such a great professor in my university with such vast knowledge in electricity market.
I have a question about the exercise 2 in the 1:54:36. why the there is only one term of μ in the constraint while there is two less than or equal to sign in the prime problem constraint? How does it derive? Can anyone answer? Thanks!
@smithsam3956
5 ай бұрын
Also, is there any answer to the exercise in the lecture? Hopefully any one cna answer!