elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

High Performance Computing vs. Heuristic: A performance benchmark for optimization problems with linear power flows

Cao, Karl-Kien and Wetzel, Manuel (2020) High Performance Computing vs. Heuristic: A performance benchmark for optimization problems with linear power flows. In: 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe). IEEE-PES-ISGT-Europe 2020, 25.28. Oct. 2020, Virtual Conference. doi: 10.1109/ISGT-Europe47291.2020.9248780. ISBN 978-1-7281-7100-5.

[img] PDF - Only accessible within DLR
732kB
[img] PDF
1MB

Official URL: https://ieeexplore.ieee.org/document/9248780

Abstract

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).

Item URL in elib:https://elib.dlr.de/135344/
Document Type:Conference or Workshop Item (Speech, Other)
Title:High Performance Computing vs. Heuristic: A performance benchmark for optimization problems with linear power flows
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Cao, Karl-KienKarl-Kien.Cao (at) dlr.dehttps://orcid.org/0000-0002-9720-0337
Wetzel, ManuelManuel.Wetzel (at) dlr.dehttps://orcid.org/0000-0001-7838-2414
Date:2020
Journal or Publication Title:2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/ISGT-Europe47291.2020.9248780
ISBN:978-1-7281-7100-5
Status:Published
Keywords:dc optimal power flow, transmission expansion planning, energy system optimization modeling, co-optimization
Event Title:IEEE-PES-ISGT-Europe 2020
Event Location:Virtual Conference
Event Type:international Conference
Event Dates:25.28. Oct. 2020
Organizer:IEEE PES
HGF - Research field:Energy
HGF - Program:Technology, Innovation and Society
HGF - Program Themes:Renewable Energy and Material Resources for Sustainable Futures - Integrating at Different Scales
DLR - Research area:Energy
DLR - Program:E SY - Energy Systems Analysis
DLR - Research theme (Project):E - Systems Analysis and Technology Assessment (old)
Location: Stuttgart
Institutes and Institutions:Institute of Engineering Thermodynamics > Energy Systems Analysis
Deposited By: Cao, Karl-Kien
Deposited On:08 Jul 2020 13:24
Last Modified:04 Dec 2020 13:17

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.