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The sensitivity of power system expansion models

Schyska, Bruno and Kies, Alexander and Schlott, Markus and von Bremen, Lueder and Medjroubi, Wided (2021) The sensitivity of power system expansion models. Joule, 5 (10), pp. 2606-2624. Elsevier. doi: 10.1016/j.joule.2021.07.017. ISSN 2542-4351.

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Official URL: https://www.sciencedirect.com/science/article/abs/pii/S254243512100355X


Power system models are a widely used tool in academia. They support the societal and political decision-making process in the context of the transformation of power systems. In particular, they can propose approaches to ease the integration of renewable resources. However, model results are subject to uncertainties originating from uncertain model parameters or model formulations. Here, we show that the error caused by uncertain assumptions for model parameters or model designs can be measured by a mathematically well-defined concept: a distance measure (or metric). When applied in a systematic manner, this metric can be used to describe the sensitivity of many kinds of optimization models. Therefore, it is found that power system models are especially sensitive to the temporal resolution. We emphasize that our approach could be used as a standard to disclose sensitivity information in power system studies and, hence, contribute to openness and transparency.

Item URL in elib:https://elib.dlr.de/145776/
Document Type:Article
Title:The sensitivity of power system expansion models
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Schyska, BrunoBruno.Schyska (at) dlr.dehttps://orcid.org/0000-0002-8206-8863
Kies, Alexanderkies (at) fias.uni-frankfurt.deUNSPECIFIED
Schlott, Markusschlott (at) fias.uni-frankfurt.deUNSPECIFIED
von Bremen, Luederlueder.von.bremen (at) dlr.deUNSPECIFIED
Medjroubi, WidedWided.Medjroubi (at) dlr.dehttps://orcid.org/0000-0002-2274-4209
Date:24 August 2021
Journal or Publication Title:Joule
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1016/j.joule.2021.07.017
Page Range:pp. 2606-2624
Keywords:energy systems analysis uncertainty reliability validation robust optimization metric modeling to generate alternatives transparency sensitivity analysis temporal resolution
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: Oldenburg
Institutes and Institutions:Institute of Networked Energy Systems > Energy Systems Analysis, OL
Deposited By: Schyska, Bruno
Deposited On:18 Nov 2021 10:29
Last Modified:18 Nov 2021 10:29

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