Next Article in Journal
A Novel Fault Diagnosis Method for Power Transformer Based on Dissolved Gas Analysis Using Hypersphere Multiclass Support Vector Machine and Improved D–S Evidence Theory
Previous Article in Journal
Dynamic Modeling and Preliminary Performance Analysis of a New Solar Thermal Reverse Osmosis Desalination Process
Open AccessArticle

Cluster Analysis of Distribution Grids in Baden-Württemberg

Department of Mechanical and Process Engineering, Offenburg University of Applied Sciences, Badstr. 24, 77652 Offenburg, Germany
*
Author to whom correspondence should be addressed.
Energies 2019, 12(20), 4016; https://doi.org/10.3390/en12204016
Received: 20 September 2019 / Revised: 18 October 2019 / Accepted: 20 October 2019 / Published: 22 October 2019
(This article belongs to the Section Electrical Power and Energy System)
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 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. View Full-Text
Keywords: classification of DSOs; photovoltaic feed in; power grid statistics; cluster analysis, statistical analysis classification of DSOs; photovoltaic feed in; power grid statistics; cluster analysis, statistical analysis
Show Figures

Figure 1

MDPI and ACS Style

Rösch, T.; Treffinger, P. Cluster Analysis of Distribution Grids in Baden-Württemberg. Energies 2019, 12, 4016. https://doi.org/10.3390/en12204016

AMA Style

Rösch T, Treffinger P. Cluster Analysis of Distribution Grids in Baden-Württemberg. Energies. 2019; 12(20):4016. https://doi.org/10.3390/en12204016

Chicago/Turabian Style

Rösch, Tobias; Treffinger, Peter. 2019. "Cluster Analysis of Distribution Grids in Baden-Württemberg" Energies 12, no. 20: 4016. https://doi.org/10.3390/en12204016

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop