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Generation Expansion Planning (GEP) models considering uncertainties on renewable energy resources (RES) using python/pyomo

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Generation Expansion Planning (GEP) models considering uncertainties on renewable energy resources (RES) using python/pyomo

The following files solve the GEP problem for three scenarios of wind and solar production using different approaches:

  • Stochastic-GEP.py: Two-Stage Stochastic Generation Expansion Planning

The models are developed in Pyomo v6.7 and solved using HiGHS.

The main references to model the optimization problems are:

[1] Optimization Techniques by Andrés Ramos Galán

[2] Good Optimization Modeling Practices using Pyomo

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Generation Expansion Planning (GEP) models considering uncertainties on renewable energy resources (RES) using python/pyomo

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