In this paper we compare two cutting-edge timeperiod aggregation methodologies for power system models that consider both renewables and storage technologies: the chronological time-period clustering; and, the enhanced representative period approach. Such methodologies are used in order to reduce the computational burden of highly complex optimization models while not compromising the quality of the results. With this paper, we identify which method works best, and under which conditions, in order to reproduce the outcomes of the hourly benchmark model.
Palabras clave: power system models, clustering, time-period aggregation
2nd International Conference on Smart Energy Systems and Technologies - SEST 2019, Oporto, Norte (Portugal). 09-11 Septiembre 2019
Fecha de publicación: septiembre 2019.
S. Wogrin, D.A. Tejada, S. Pineda, J.M. Morales, What time-period aggregation method works best for power system operation models with renewables and storage?, 2nd International Conference on Smart Energy Systems and Technologies - SEST 2019. ISBN: 978-1-7281-1156-8, Oporto, Portugal, 09-11 Septiembre 2019