Automated Planning of Smart Low Voltage Networks Using an Evolutionary Algorithm

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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.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
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