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Cluster Analysis of Distribution Grids in Baden-Württemberg

  • With the growing share of renewable energies in the electricity supply, transmission and distribution grids have to be adapted. A profound understanding of the structural characteristics of distribution grids is essential to define suitable strategies for grid expansion. Many countries have a large number of distribution system operators (DSOs) whose standards vary widely, which contributes toWith the growing share of renewable energies in the electricity supply, transmission and distribution grids have to be adapted. A profound understanding of the structural characteristics of distribution grids is essential to define suitable strategies for grid expansion. Many countries have a large number of distribution system operators (DSOs) whose standards vary widely, which contributes to coordination problems during peak load hours. This study contributes to targeted distribution grid development by classifying DSOs according to their remuneration requirement. To examine the amendment potential, structural and grid development data from 109 distribution grids in South-Western Germany, are collected, referring to publications of the respective DSOs. The resulting data base is assessed statistically to identify clusters of DSOs according to the fit of demographic requirements and grid-construction status and thus identify development needs to enable a broader use of regenerative energy resources. Three alternative algorithms are explored to manage this task. The study finds the novel Gauss-Newton algorithm optimal to analyse the fit of grid conditions to regional requirements and successfully identifies grids with remuneration needs. It is superior to the so far used K-Means algorithm. The method developed here is transferable to other areas for grid analysis and targeted, cost-efficient development.show moreshow less

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Metadaten
Document Type:Article (reviewed)
Zitierlink: https://opus.hs-offenburg.de/3769
Bibliografische Angaben
Title (English):Cluster Analysis of Distribution Grids in Baden-Württemberg
Author:Tobias RöschStaff Member, Peter TreffingerStaff MemberGND
Year of Publication:2019
Publisher:MDPI
Page Number:25
Article Number:4016
Parent Title (English):Energies
Volume:12
Issue:20
ISSN:1996-1073
DOI:https://doi.org/10.3390/en12204016
Language:English
Inhaltliche Informationen
Institutes:Fakultät Maschinenbau und Verfahrenstechnik (M+V)
Institutes:Bibliografie
DDC classes:500 Naturwissenschaften und Mathematik
GND Keyword:Cluster; Elektrisches Netz; Energie
Tag:Clusteranalyse; Photovoltaikeinspeisung; Verteilnetzbetreiber
Formale Angaben
Open Access: Open Access 
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International