Slime Mold Inspired Distribution Network Initial Solution

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.

Comparison of Economical and Technical Photovoltaic Hosting Capacity Limits in Distribution Networks

“…The terms "ut" and "ce" in (5) are the loss utilization time and the cost of energy losses employed in the cost and benefit analysis as discussed in [34]. This study utilized the cost perspective for network generation and investigated the balance between loss cost and capital investment.…”