Article ID Journal Published Year Pages File Type
703429 Electric Power Systems Research 2014 8 Pages PDF
Abstract

•Stochastic generation expansion planning problem.•Emissions quotas modeling.•Novel algorithm based on Benders decomposition.•SDDP is used as a sub-routine.•Panama case study, estimating CO2 emissions reductions cost.

Generation expansion planning for hydro-thermal power systems aims to find optimal investment decisions among a set of possible power plant projects. For any given investment plan, expansion planning models must account for investment costs as well as expected operational costs. Additionally, when modeling hydro-thermal power systems, one must consider the inherent uncertainty in hydro inflows because variations in inflows can significantly impact operational decisions. To model the expansion planning problem for a hydro-thermal power producer, we propose a novel decomposition algorithm, based on Benders decomposition. The Benders master problem computes the investment decisions while the separation problems are emissions-constrained, least-cost, and stochastic hydro-thermal scheduling problems. The separation problems are solved using a standard stochastic dual dynamic programming (SDDP) algorithm. To demonstrate the effectiveness of the approach, we present a case study for Panama's power system. The computational results allow us to price carbon dioxide emissions reductions, aiding the evaluations of environmental policies.

Related Topics
Physical Sciences and Engineering Energy Energy Engineering and Power Technology
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