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Evaluation of Temporal Complexity Reduction Techniques Applied to Storage Expansion Planning in Power System Models

Raventós, Oriol and Bartels, Julian (2020) Evaluation of Temporal Complexity Reduction Techniques Applied to Storage Expansion Planning in Power System Models. Energies, 13 (4). Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/en13040988 ISSN 1996-1073

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Official URL: http://dx.doi.org/10.3390/en13040988

Abstract

The growing share of renewable energy makes the optimization of power flows in power system models computationally more complicated, due to the widely distributed weather-dependent electricity generation. This article evaluates two methods to reduce the temporal complexity of a power transmission grid model with storage expansion planning. The goal of the reduction techniques is to accelerate the computation of the linear optimal power flow of the grid model. This is achieved by choosing a small number of representative time periods to represent one whole year. To select representative time periods, a hierarchical clustering is used to aggregate either adjacent hours chronologically or independently distributed coupling days into clusters of time series. The aggregation efficiency is evaluated by means of the error of the objective value and the computational time reduction. Further, both the influence of the network size and the efficiency of parallel computation in the optimization process are analysed. As a test case, the transmission grid of the northernmost German federal state of Schleswig-Holstein with a scenario corresponding to the year 2035 is considered. The considered scenario is characterized by a high share of installed renewables.

Item URL in elib:https://elib.dlr.de/134223/
Document Type:Article
Title:Evaluation of Temporal Complexity Reduction Techniques Applied to Storage Expansion Planning in Power System Models
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Raventós, OriolOriol.RaventosMorera (at) dlr.dehttps://orcid.org/0000-0002-0512-4331
Bartels, JulianJulian.Bartels (at) dlr.dehttps://orcid.org/0000-0002-2623-9787
Date:22 February 2020
Journal or Publication Title:Energies
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:13
DOI :10.3390/en13040988
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:1996-1073
Status:Published
Keywords:power system modeling; energy system modeling; renewable energy; linear optimal power flow; time series aggregation; storage capacity expansion planning
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: Oldenburg
Institutes and Institutions:Institute of Networked Energy Systems > Energy Systems Analysis
Deposited By: Raventos Morera, Oriol
Deposited On:24 Mar 2020 15:26
Last Modified:24 Mar 2020 15:26

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