What time-period aggregation method works best for power system operation models with renewables and storage?

S. Wogrin, D. A. Tejada-Arango, S. Pineda, J. M. Morales

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

In this paper we compare two cutting-edge time-period 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.

Originalspracheenglisch
TitelSEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers
ISBN (elektronisch)9781728111568
DOIs
PublikationsstatusVeröffentlicht - Sep. 2019
Extern publiziertJa
Veranstaltung2nd International Conference on Smart Energy Systems and Technologies, SEST 2019 - Porto, Portugal
Dauer: 9 Sep. 201911 Sep. 2019

Publikationsreihe

NameSEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies

Konferenz

Konferenz2nd International Conference on Smart Energy Systems and Technologies, SEST 2019
Land/GebietPortugal
OrtPorto
Zeitraum9/09/1911/09/19

ASJC Scopus subject areas

  • Artificial intelligence
  • Computernetzwerke und -kommunikation
  • Energieanlagenbau und Kraftwerkstechnik
  • Erneuerbare Energien, Nachhaltigkeit und Umwelt
  • Elektrotechnik und Elektronik
  • Steuerung und Optimierung

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