Generation Expansion Planning (GEP) models considering uncertainties on renewable energy resources (RES)
The following files solve the GEP problem for three scenarios of wind and solar production using different approaches:
- Stochastic-GEP.gms: Two-Stage Stochastic Generation Expansion Planning
- Stochastic-GEP-Benders.gms: Two-Stage Stochastic Generation Expansion Planning - Using Benders
- Stochastic-GEP-Benders-Multicut.gms: Two-Stage Stochastic Generation Expansion Planning - Using Benders Multicut
- Stochastic-GEP-LR.gms: Two-Stage Stochastic Generation Expansion Planning - Using Lagrangian Relaxation (LR)
- Stochastic-GEP-Multistage.gms: Multi-Stage Stochastic Generation Expansion Planning
- ARO-GEP.gms: Two-Stage Adaptive Robust Optimization (ARO)-Generation Expansion Planning (GEP)
- WCS-GEP.gms: Worst Case Scenario -Generation Expansion Planning (GEP)
The models are developed in GAMS and solved with CPLEX, but you could use any other solver (e.g., GUROBI, Cbc).
The main references to model the optimization problems are: