Generation Capacity Expansion Planning under hydro uncertainty using Stochastic Mixed Integer Programming and scenario reduction

@article{Gil2015GenerationCE,
  title={Generation Capacity Expansion Planning under hydro uncertainty using Stochastic Mixed Integer Programming and scenario reduction},
  author={Esteban M. Gil and Ignacio Aravena and Raul Cardenas},
  journal={2015 IEEE Power & Energy Society General Meeting},
  year={2015},
  pages={1-1}
}
Summary form only given. Generation Capacity Expansion Planning (GCEP) is the process of deciding on a set of optimal new investments in generation capacity to adequately supply future loads, while satisfying technical and reliability constraints. This paper shows the application of Stochastic Mixed-Integer Programming (SMIP) to account for hydrological uncertainty in GCEP for the Chilean Central Interconnected System, using a two-stage SMIP multi-period model with investments and optimal power… CONTINUE READING

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