Evaluating electricity distribution network reconfiguration to minimize power loss on existing networks

Werner Van Westering; Michiel Van Der Meulen; Wieb Bosma

doi:10.1049/cp.2016.0665

Evaluating electricity distribution network reconfiguration to minimize power loss on existing networks

Werner Van Westering, Michiel Van Der Meulen, Wieb Bosma

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Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

This paper applies the distribution network reconfiguration problem to existing networks. The medium voltage distribution network of the Dutch DSO Alliander is operated using a radial topology. By optimizing this topology it is possible to reduce the energy losses caused by the cable impedances. Various solutions algorithms have been compared for this distribution network reconfiguration problem, while taking into account network capacity and voltage levels. A Genetic algorithm combined with a Greedy demeshing starting condition yields the best results. Applying the algorithm on real life distribution networks shows with 226 buses and 406 buses yield a reduction in power losses of 15% and 27% respectively.

Original language	English
Title of host publication	Proceedings CIRED 2016 Workshop
Editors	Peter Soderstrom, Ricardo Prata, Fabrizio Pilo
Publisher	Institution of Engineering and Technology
Number of pages	4
ISBN (Print)	978-1-78561-202-2
DOIs	https://doi.org/10.1049/cp.2016.0665
Publication status	Published - 2016
Event	CIRED Workshop 2016 - Helsinki, Finland Duration: 14 Jun 2016 → 15 Jun 2016

Conference

Conference	CIRED Workshop 2016
Country/Territory	Finland
City	Helsinki
Period	14/06/16 → 15/06/16

Keywords

greedy algorithms
topology
distribution networks
power cables
genetic algorithms

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10.1049/cp.2016.0665

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title = "Evaluating electricity distribution network reconfiguration to minimize power loss on existing networks",

abstract = "This paper applies the distribution network reconfiguration problem to existing networks. The medium voltage distribution network of the Dutch DSO Alliander is operated using a radial topology. By optimizing this topology it is possible to reduce the energy losses caused by the cable impedances. Various solutions algorithms have been compared for this distribution network reconfiguration problem, while taking into account network capacity and voltage levels. A Genetic algorithm combined with a Greedy demeshing starting condition yields the best results. Applying the algorithm on real life distribution networks shows with 226 buses and 406 buses yield a reduction in power losses of 15% and 27% respectively.",

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author = "{Van Westering}, Werner and {Van Der Meulen}, Michiel and Wieb Bosma",

year = "2016",

doi = "10.1049/cp.2016.0665",

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editor = "Peter Soderstrom and Ricardo Prata and Fabrizio Pilo",

booktitle = "Proceedings CIRED 2016 Workshop",

publisher = "Institution of Engineering and Technology",

address = "United Kingdom",

note = "CIRED Workshop 2016 ; Conference date: 14-06-2016 Through 15-06-2016",

}

Van Westering, W, Van Der Meulen, M & Bosma, W 2016, Evaluating electricity distribution network reconfiguration to minimize power loss on existing networks. in P Soderstrom, R Prata & F Pilo (eds), Proceedings CIRED 2016 Workshop., Paper 0088, Institution of Engineering and Technology, CIRED Workshop 2016, Helsinki, Finland, 14/06/16. https://doi.org/10.1049/cp.2016.0665

Evaluating electricity distribution network reconfiguration to minimize power loss on existing networks. / Van Westering, Werner; Van Der Meulen, Michiel; Bosma, Wieb.
Proceedings CIRED 2016 Workshop. ed. / Peter Soderstrom; Ricardo Prata; Fabrizio Pilo. Institution of Engineering and Technology, 2016. Paper 0088.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AB - This paper applies the distribution network reconfiguration problem to existing networks. The medium voltage distribution network of the Dutch DSO Alliander is operated using a radial topology. By optimizing this topology it is possible to reduce the energy losses caused by the cable impedances. Various solutions algorithms have been compared for this distribution network reconfiguration problem, while taking into account network capacity and voltage levels. A Genetic algorithm combined with a Greedy demeshing starting condition yields the best results. Applying the algorithm on real life distribution networks shows with 226 buses and 406 buses yield a reduction in power losses of 15% and 27% respectively.

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Evaluating electricity distribution network reconfiguration to minimize power loss on existing networks

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