• DocumentCode
    1181864
  • Title

    Distribution Transformer Losses Evaluation: A New Analytical Methodology and Artificial Neural Network Approach

  • Author

    Leal, Adriano Galindo ; Jardini, José Antonio ; Magrini, Luiz Carlos ; Ahn, Se Un

  • Author_Institution
    Elucid Solutions, Sao Paulo
  • Volume
    24
  • Issue
    2
  • fYear
    2009
  • fDate
    5/1/2009 12:00:00 AM
  • Firstpage
    705
  • Lastpage
    712
  • Abstract
    The aim of this paper is to propose an analytical methodology and discuss some alternatives of artificial neural network models in order to evaluate losses in distribution systems, particularly in distribution transformers. The procedure can also be extended to other components of the distribution system (secondary and primary network and HV/MV transformers). This is accomplished by using the utility´s database such as the consumers´ monthly energy consumption and the typical load curves of each class of consumption and type of activity developed.
  • Keywords
    losses; neural nets; power engineering computing; power transformers; artificial neural network approach; distribution transformer loss evaluation; Information systems; neural networks; power distribution; power transformer losses;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2008.2012178
  • Filename
    4796337