In Energy and Power System Optimization in GAMS course you will learn:
How to formulate your problem and implement it in GAMS and make optimal decisions in your real-life problems
How to code efficiently, get familiarised with the techniques that will make your code scalable for large problems
How to design an action block with a clearly defined conversion goal
How to run sensitivity analysis in GAMS to predict the outcome of a decision if a situation turns out to be different compared to the key predictions.
For your convenience the course is broken into two sections :
General GAMS coding (Pure GAMS, elements, loops, multi-objectives, conditional statements, Examples)
Power system GAMS coding (Static/dynamic economic/environmental dispatch, AC/DC Optimal Power Flow (OPF), Storage modeling, demand response, Power system observability, …)
You will be walked through every step of GAMS coding with real-life case studies, actual experiments, and multiple examples from around different disciplines.
By the end of this course, you’ll be able to Code your own optimization problem in GAMS.
(with Dr. Alireza Soroudi )