Ignacio Aravena

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In this paper we present a stochastic model for multi-area wind production that is used for planning reserves in transmission-constrained systems with large amounts of integrated renewable power supply. The stochastic model accounts for the inter-temporal and spatial dependencies of multi-area wind power production. Results are presented for a case study of(More)
Generation Capacity Expansion Planning (GCEP) decides about generation capacity investments to adequately supply the future loads, while minimizing investment and operation costs satisfying a set of technical and security constraints. This paper presents a Stochastic Mixed-Integer Programming formulation (SMIP) for suggesting future generation investments(More)
Most of the methods developed for hydrothermal power system planning are based on scenario-based stochastic programming and therefore represent the stochastic hydro variable (water inflows) as a finite set of hydrological scenarios. As the level of detail in the models grows and the associated optimization problems become more complex, the need to reduce(More)
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