Generation Expansion Planning (GEP) models considering uncertainties on renewable energy resources (RES) using Julia/JuMP
The following files solve the GEP problem for three scenarios of wind and solar production using different approaches:
- Stochastic-GEP-two-stage-nb.ipynb
- Stochastic-GEP-two-stage-explicit-nb.ipynb
- Stochastic-GEP-two-stage-Benders-nb.ipynb
- Stochastic-GEP-two-stage-Benders-multicut-nb.ipynb
- Stochastic-GEP-two-stage-LR-nb.ipynb
- Stochastic-GEP-multi-stage-nb.ipynb
- Static-robust-optimization-GEP-nb.ipynb
- Adaptive-robust-optimization-GEP-nb.ipynb
These examples show basic concepts for learning optimization under uncertainty in power systems.
The models are developed in Julia, using the package JuMP, and solved using HiGHS.
The main references to model the optimization problems are: