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Energies
Volume 13
Issue 23
10.3390/en13236278
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Article

Slime Mold Inspired Distribution Network Initial Solution

by
Verner Püvi
1,*,
Robert J. Millar
1,
Eero Saarijärvi
2,
Ken Hayami
3,
Tahitoa Arbelot
4 and
Matti Lehtonen
1
1
Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland
2
Trimble Solutions, 02130 Espoo, Finland
3
Principles of Informatics Research Division, National Institute of Informatics, Tokyo 101-8430, Japan
4
Ensimag-National School of Computer Science and Applied Mathematics, Grenoble Institute of Technology, 38402 Saint Martin D’Heres, France
*
Author to whom correspondence should be addressed.
Energies 2020, 13(23), 6278; https://doi.org/10.3390/en13236278
Submission received: 3 November 2020 / Revised: 19 November 2020 / Accepted: 24 November 2020 / Published: 28 November 2020
(This article belongs to the Section F: Electrical Engineering)
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Abstract

Electricity distribution network optimisation has attracted attention in recent years due to the widespread penetration of distributed generation. A considerable portion of network optimisation algorithms rely on an initial solution that is supposed to bypass the time-consuming steps of optimisation routines. The aim of this paper is to present a nature inspired algorithm for initial network generation. Based on slime mold behaviour, the algorithm can generate a large-scale network in a reasonable computation time. A mathematical formulation and parameter exploration of the slime mold algorithm are presented. Slime mold networks resemble a relaxed minimum spanning tree with better balance between the investment and loss costs of a distribution network. Results indicate lower total costs for suburban and urban networks.
Keywords: distribution network planning; initial network; physarum polycephalum; slime mold distribution network planning; initial network; physarum polycephalum; slime mold
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MDPI and ACS Style

Püvi, V.; Millar, R.J.; Saarijärvi, E.; Hayami, K.; Arbelot, T.; Lehtonen, M. Slime Mold Inspired Distribution Network Initial Solution. Energies 2020, 13, 6278. https://doi.org/10.3390/en13236278

AMA Style

Püvi V, Millar RJ, Saarijärvi E, Hayami K, Arbelot T, Lehtonen M. Slime Mold Inspired Distribution Network Initial Solution. Energies. 2020; 13(23):6278. https://doi.org/10.3390/en13236278

Chicago/Turabian Style

Püvi, Verner, Robert J. Millar, Eero Saarijärvi, Ken Hayami, Tahitoa Arbelot, and Matti Lehtonen. 2020. "Slime Mold Inspired Distribution Network Initial Solution" Energies 13, no. 23: 6278. https://doi.org/10.3390/en13236278

APA Style

Püvi, V., Millar, R. J., Saarijärvi, E., Hayami, K., Arbelot, T., & Lehtonen, M. (2020). Slime Mold Inspired Distribution Network Initial Solution. Energies, 13(23), 6278. https://doi.org/10.3390/en13236278

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