Optimal Algerian Distribution Network Reconfiguration Using Antlion Algorithm for Active Power Losses

  • Mustafa Mosbah
  • , Salem Arif
  • , Ridha Djamel Mohammedi
  • , Rabie Zine

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this work a meta-heuristic approach based on Antlion algorithms in hybridation with graph theory was presented to locate the optimal distribution network DN configuration, this is done by adjusting the state of the switches (switch closed or open). The main purpose of network reconfiguration is to find network topology with minimal losses under constraints. The optimal configuration of the DN is a nonlinear and discrete optimization problem. The given method was tested on IEEE networks (33, 69 and 84 bus) then validated on the Algerian DN (116 bus) under MATLAB environment.

Original languageEnglish
Title of host publicationProceedings - PAIS 2018
Subtitle of host publicationInternational Conference on Pattern Analysis and Intelligent Systems
EditorsMakhlouf Derdour, Mohamed Amroune, Ahmed Ahmim, Makhlouf Derdour, Mohamed Amroune
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538642382
DOIs
StatePublished - 31 Dec 2018
Externally publishedYes
Event2018 3rd International Conference on Pattern Analysis and Intelligent Systems, PAIS 2018 - Tebessa, Algeria
Duration: 24 Oct 201825 Oct 2018

Publication series

NameProceedings - PAIS 2018: International Conference on Pattern Analysis and Intelligent Systems

Conference

Conference2018 3rd International Conference on Pattern Analysis and Intelligent Systems, PAIS 2018
Country/TerritoryAlgeria
CityTebessa
Period24/10/1825/10/18

Keywords

  • Antlion algorithm.
  • Graph theory
  • Optimal reconfiguration
  • Power losses
  • Radial DN

Fingerprint

Dive into the research topics of 'Optimal Algerian Distribution Network Reconfiguration Using Antlion Algorithm for Active Power Losses'. Together they form a unique fingerprint.

Cite this