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Automated routing of feeders in electrical distribution grids

  • The energy transition in Europe is bringing a high number of decentralized generation units and new types of loads. This change in the load structure increases the complexity of planning processes, creating a need to reinforce and expand electrical distribution grids. Automating planning processes can help to accelerate and optimize expansion and reinforcement measures. This paper presents a modular method for automated routing based on rendered images of geographic maps and territory information in medium- and low-voltage grids with regards to economic factors and technical requirements. Optimized routes are determined on the basis of geographic information and under consideration of underground construction costs for cables depending on ground characteristics. Subsequently, the generated synthetic grids are benchmarked against real low-voltage grids of a German grid operator, Westfalen Weser Netz GmbH. The geographical comparison shows a significant reduction of trenches and cables. The comparison of the power flow results shows similar line loads and voltage bands for the synthetic and the real grids. This comparison with real grids confirms that the developed method is suitable for the automated planning of routes and configuration of feeders and thus it is an important contribution to automate the planning processes in distribution grids.

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Metadaten
Author:Marc TrageserORCiD, Marc PapeORCiD, Kira Frings, Philipp Erlinghagen, Marcel KurthORCiD, Chris Martin Vertgewall, Antonello Monti, Timo Busse
DOI:https://doi.org/10.1016/j.epsr.2022.108217
ISSN:0378-7796
Parent Title (English):Electric Power Systems Research
Publisher:Elsevier BV
Place of publication:Amsterdam
Document Type:Article
Language:English
Date of Publication (online):2022/07/04
Date of first Publication:2022/07/04
Release Date:2025/08/15
Tag:Distribution grid planning
Automation; Distribution grid analysis; Distribution grid planning; Power system; Routing algorithm
Volume:211
Issue:October
Article Number:108217
Page Number:11 S.
Institute / Department:FIR e. V. an der RWTH Aachen
Informationsmanagement
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften
BKL-Classification:53 Elektrotechnik / 53.13 Elektrische Netzwerke und Schaltungen
54 Informatik / 54.00 Informatik: Allgemeines