LAUSR

Relevant optimization problems dealing with power generation and distribution require that the system be analyzed on an hour-to-hour scale. The resulting mathematical models are frequently computationally intractable due to the very high number of variables and constraints. A popular method for reducing the problem size is to aggregate the time domain by selecting appropriate representative time slices. This study proposes: (i) a survey of the main aggregation techniques developed for power capacity-expansion modeling, and (ii) new aggregation methods and a computational comparison of the various approaches.