• DocumentCode
    1307908
  • Title

    Distribution Network Reconfiguration Using Genetic Algorithms With Sequential Encoding: Subtractive and Additive Approaches

  • Author

    de Macedo Braz, H.D. ; De Souza, Benemar Alencar

  • Author_Institution
    Companhia Hidreletrica do Sao Francisco, Recife, Brazil
  • Volume
    26
  • Issue
    2
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    582
  • Lastpage
    593
  • Abstract
    This paper deals with radial distribution network reconfiguration for loss and switching mitigation. Its main contribution is the presentation of a genetic algorithm (GA) with two network encodings, capable of representing only radial connected solutions without demanding a planar topology or any specific genetic operator. The code was named sequential because the evaluation of the ith gene depends on the information forthcoming from all the previous genes. In addition to a full description of proposed techniques with examples, the paper presents a survey of existing network codifications including their search space and chromosomes for a 33-bus example system. In order to validate the proposed algorithms, these and other two techniques in the state of the art are applied to reconfigure three sample systems which have been broadly published in the technical literature. Performance is assessed by using the results of implemented representations and the reconfiguration literature.
  • Keywords
    distribution networks; genetic algorithms; genetic algorithms; network encodings; planar topology; radial distribution network reconfiguration; sequential encoding; Biological cells; Encoding; Genetics; Mathematical model; Network topology; Substations; Topology; Additive sequential encoding; codification strategies; distribution network reconfiguration; genetic algorithms; spanning trees; subtractive sequential encoding;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2010.2059051
  • Filename
    5559532