Genetic algorithm and simulation annealing in distribution network reconfiguration

Bing Da Zhang, Yu Jia Zhang, Wai Lok Chan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The simulated annealing genetic algorithm (SAGA) is a kind of leadable random algorithm. It is on the basis of genetic algorithm (GA) and adopts simulated annealing algorithm (SA) locally. The distribution network reconfiguration is dealt with using SAGA in this paper. According to the characteristic of the network reconfiguration, some improvements are made to meliorate the convergence. The result shows that improved algorithm is faster and the feeder power losses of reconfigured network are smaller.
Original languageEnglish
Title of host publication7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006)
Edition523 CP
DOIs
Publication statusPublished - 1 Dec 2006
Event7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006 - Hong Kong, Hong Kong
Duration: 30 Oct 20062 Nov 2006

Conference

Conference7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006
CountryHong Kong
CityHong Kong
Period30/10/062/11/06

Keywords

  • Chromosome
  • Convergence speed
  • Distribution network reconfiguration
  • Feeder power losses
  • Fitness function
  • Genetic algorithm
  • Genetic operation
  • Population
  • Simulated annealing algorithm
  • Simulated annealing genetic algorithm

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this