Cao, Karl-Kien und Wetzel, Manuel (2020) High Performance Computing vs. Heuristic: A performance benchmark for optimization problems with linear power flows. In: 10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020. IEEE-PES-ISGT-Europe 2020, 2020-10-25 - 2020-10-28, Virtual Conference. doi: 10.1109/ISGT-Europe47291.2020.9248780. ISBN 978-1-7281-7100-5.
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Offizielle URL: https://ieeexplore.ieee.org/document/9248780
Kurzfassung
We address the crucial aspect of unmanageable computing times of large-scale Energy System Optimization Models. Such models provide insights into future energy supply systems while keeping an overall perspective. However, the degree of phenomena or processes to be modeled is ever-increasing. With PIPS-IPM++ a novel solver is presented which is designed for linear optimization problems with linking variables (i.e. investment decisions) and linking constraints (i.e. power flow constraints). Compared to existing approaches for computing time reduction it makes use of High Performance Computing. Here, we present a benchmark study that compares the performance of PIPS-IPM++ with a usual speed-up heuristic (Temporal Zooming). Our results show that speed-ups between factor 10 and 15 are achievable with PIPS-IPM++ and Temporal Zooming, respectively. Despite PIPS-IPM++ has a great potential to parallelize solving, the tested version of the solver is especially useful for models without investment decisions (i.e. optimal power flow problems).
elib-URL des Eintrags: | https://elib.dlr.de/135344/ | ||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag, Anderer) | ||||||||||||
Titel: | High Performance Computing vs. Heuristic: A performance benchmark for optimization problems with linear power flows | ||||||||||||
Autoren: |
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Datum: | 2020 | ||||||||||||
Erschienen in: | 10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020 | ||||||||||||
Referierte Publikation: | Ja | ||||||||||||
Open Access: | Nein | ||||||||||||
Gold Open Access: | Nein | ||||||||||||
In SCOPUS: | Ja | ||||||||||||
In ISI Web of Science: | Nein | ||||||||||||
DOI: | 10.1109/ISGT-Europe47291.2020.9248780 | ||||||||||||
ISBN: | 978-1-7281-7100-5 | ||||||||||||
Status: | veröffentlicht | ||||||||||||
Stichwörter: | dc optimal power flow, transmission expansion planning, energy system optimization modeling, co-optimization | ||||||||||||
Veranstaltungstitel: | IEEE-PES-ISGT-Europe 2020 | ||||||||||||
Veranstaltungsort: | Virtual Conference | ||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||
Veranstaltungsbeginn: | 25 Oktober 2020 | ||||||||||||
Veranstaltungsende: | 28 Oktober 2020 | ||||||||||||
Veranstalter : | IEEE PES | ||||||||||||
HGF - Forschungsbereich: | Energie | ||||||||||||
HGF - Programm: | TIG Technologie, Innovation und Gesellschaft | ||||||||||||
HGF - Programmthema: | Erneuerbare Energie- und Materialressourcen für eine nachhaltige Zukunft | ||||||||||||
DLR - Schwerpunkt: | Energie | ||||||||||||
DLR - Forschungsgebiet: | E SY - Energiesystemanalyse | ||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | E - Systemanalyse und Technikbewertung (alt) | ||||||||||||
Standort: | Stuttgart | ||||||||||||
Institute & Einrichtungen: | Institut für Technische Thermodynamik > Energiesystemanalyse | ||||||||||||
Hinterlegt von: | Cao, Dr.-Ing. Karl-Kien | ||||||||||||
Hinterlegt am: | 08 Jul 2020 13:24 | ||||||||||||
Letzte Änderung: | 24 Apr 2024 20:38 |
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