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

Pushing computational boundaries: Solving integrated investment planning problems for large-scale energy systems with PIPS-IPM+

Cao, Karl-Kien and Wetzel, Manuel and Kempke, Nils-Christian and Koch, Thorsten (2021) Pushing computational boundaries: Solving integrated investment planning problems for large-scale energy systems with PIPS-IPM+. Operations Research 2021, 1.-3. Sep. 2021, Bern, Switzerland (virtual).

[img] PDF


Energy policies for setting the course of future energy supply often rely on models of energy systems with increasing interdependencies. On the mathematical side this translates into linking variables and constraints in the structure of optimization problems. Challenges concerning limited computing resources are often tackled from the applied side since generic parallel solvers are not available. This means that modelers today aim to simplify real-world models when implementing new features, despite of lots of effort spent for improving them before. This prevents accurately modeling of all system components. We tackle this challenge by combining both domain knowledge from the application side and the solver side and demonstrate our solution for a real-world model which is practically not solvable with existing methods. Therefore, we parameterize instances of the energy system optimization model REMix having more than 700 Mio. non-zeros. For the first time, these model instances incorporate both the optimization of a full hourly operational time horizon and path-dependent long-term investment planning for the German power system. These instances are annotated in a way, that the corresponding linear problems (LPs) decompose into blocks of similar size. To solve the annotated LPs, the new interior-point solver PIPS-IPM++ is applied. It treats large numbers of linking variables and constraints using a hierarchical algorithm and enables efficient scaling on parallel hardware. In this sense, we expand the boundaries of what is computationally possible when solving LPs in energy systems analysis. Accordingly, using the best possible real-world models becomes practicable, which enables the calibration of simplified models in a domain where validation is difficult.

Item URL in elib:https://elib.dlr.de/143744/
Document Type:Conference or Workshop Item (Speech)
Title:Pushing computational boundaries: Solving integrated investment planning problems for large-scale energy systems with PIPS-IPM+
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
Kempke, Nils-Christiankempke (at) zib.deUNSPECIFIED
Koch, Thorstenkoch (at) zib.dehttps://orcid.org/0000-0002-1967-0077
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:PIPS-IPM++, Energiesystemmodellierung, PyPSA, Linear Programming, Energy System Optmization
Event Title:Operations Research 2021
Event Location:Bern, Switzerland (virtual)
Event Type:international Conference
Event Dates:1.-3. Sep. 2021
Organizer:Operations Research Societies of Switzerland (SVOR), Germany (GOR e.V.) and Austria (ÖGOR)
HGF - Research field:Energy
HGF - Program:Energy System Design
HGF - Program Themes:Energy System Transformation
DLR - Research area:Energy
DLR - Program:E SY - Energy System Technology and Analysis
DLR - Research theme (Project):E - Systems Analysis and Technology Assessment
Location: Stuttgart
Institutes and Institutions:Institute of Networked Energy Systems > Energy Systems Analysis, ST
Deposited By: Cao, Karl-Kien
Deposited On:06 Sep 2021 08:39
Last Modified:06 Sep 2021 08:39

Repository Staff Only: item control page

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