Slime Mold Inspired Distribution Network Initial Solution

Verner Püvi, Robert Millar, Eero Saarijärvi, Ken Hayami, Tahitoa Arbelot, Matti Lehtonen

Research output: Contribution to journalArticleScientificpeer-review

11 Downloads (Pure)

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.
Original languageEnglish
Article number6278
Number of pages17
JournalEnergies
Volume13
Issue number23
DOIs
Publication statusPublished - 28 Nov 2020
MoE publication typeA1 Journal article-refereed

Keywords

  • Distribution Network Planning
  • Initial Network
  • Physarum Polycephalum
  • Slime Mold

Fingerprint

Dive into the research topics of 'Slime Mold Inspired Distribution Network Initial Solution'. Together they form a unique fingerprint.

Cite this