Automated Planning of Smart Low Voltage Networks Using an Evolutionary Algorithm

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CIRED 2019 - 1092.pdf (942.8 KB)

Paper number

1092

Working Group Number

Conference name

CIRED 2019

Conference date

3-6 June 2019

Conference location

Madrid, Spain

Peer-reviewed

Yes

Short title

Convener

Authors

Wruk, Julian, University of Wuppertal, Germany
Cibis, Kevin Christopher, University of Wuppertal, Germany
Zdrallek, Markus , University of Wuppertal, Germany
Landsverk, Henrik, Skagerak Nett AS, Norway

Abstract

This contribution outlines an automated planning tool for distribution networks. It supports the decision making in the strategic network planning as external factors, such as decentral generation, are gaining a stronger influence. The methodology as well as required input and output parameters are explained. The genetic algorithm used to find the most cost-effective reinforcement plan is detailed. It considers conventional technologies, such as new lines and transformers, as well as innovative technologies and measures, such as regulated transformers and Active Network Management systems with curtailment of generators. The usability of the approach is shown by applying the tool to a test case and outlining the results.

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Publisher

AIM

Date

2019-06-03

Published in

CIRED 2019 Conference

Permanent link to this record

https://cired-repository.org/handle/20.500.12455/288
http://dx.doi.org/10.34890/517

ISSN

2032-9644

ISBN

978-2-9602415-0-1