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Incorporating Power Transmission Bottlenecks into Aggregated Energy System Models

Cao, Karl-Kiên and Metzdorf, Johannes and Birbalta, Sinan (2018) Incorporating Power Transmission Bottlenecks into Aggregated Energy System Models. Sustainability, 10 (6). Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/su10061916 ISSN 2071-1050

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Official URL: http://www.mdpi.com/2071-1050/10/6/1916

Abstract

Energy scenario analyses are able to provide insights into the future and possible strategies for coping with challenges such as the integration of renewable energy sources. The models used for analyzing and developing future energy systems must be simplified, e.g., due to computational constraints. Therefore, grid-related effects and regional differences are often ignored. We tackle this issue by presenting a new methodology for aggregating spatially highly resolved transmission grid information for energy system models. In particular, such approaches are required in studies that evaluate the demand for spatially balancing power generation and consumption in future energy systems. Electricity transmission between regions is crucial, especially for scenarios that rely on high shares of renewable energy sources. The presented methodology estimates transmission line congestions by evaluating the nodal price differences and then applies a spectral clustering on these particular link attributes. The objective of the proposed approach is to derive aggregated model instances that preserve information regarding electricity transmission bottlenecks. The resulting models are evaluated against observables such as the annual amount of redispatched power generation. For a selection of defined performance indicators, we find a significantly higher accuracy compared to the commonly used, spatially aggregated models applied in the field of energy scenario analysis.

Item URL in elib:https://elib.dlr.de/120656/
Document Type:Article
Title:Incorporating Power Transmission Bottlenecks into Aggregated Energy System Models
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cao, Karl-Kiênkarl-kien.cao (at) dlr.dehttps://orcid.org/0000-0002-9720-0337
Metzdorf, Johannesjmetzdorf (at) rocketmail.comUNSPECIFIED
Birbalta, SinanUNSPECIFIEDUNSPECIFIED
Date:7 June 2018
Journal or Publication Title:Sustainability
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:10
DOI :10.3390/su10061916
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Smart Power Grid for Sustainable Energy Transition
ISSN:2071-1050
Status:Published
Keywords:energy scenario; power system modeling; spectral clustering; spatial aggregation; grid and storage expansion
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
Location: Stuttgart
Institutes and Institutions:Institute of Engineering Thermodynamics > Systems Analysis and Technology Assessment
Deposited By: Cao, Karl-Kien
Deposited On:16 Jul 2018 18:39
Last Modified:14 Dec 2019 04:25

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