Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/11531/38218
Título : What time-period aggregation method works best for power system operation models with renewablesand storage?
Autor : Wogrin, Sonja
Tejada Arango, Diego Alejandro
Pineda Morente, Salvador
Morales González, Juan Miguel
Resumen : 
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.
URI : http://hdl.handle.net/11531/38218
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