• DocumentCode
    1472504
  • Title

    Artificial neural networks in power systems. III. Examples of applications in power systems

  • Author

    Aggarwal, Raj ; Song, Yonghua

  • Author_Institution
    Sch. of Electron. & Electr. Eng., Bath Univ., UK
  • Volume
    12
  • Issue
    6
  • fYear
    1998
  • Firstpage
    279
  • Lastpage
    287
  • Abstract
    This tutorial describes some typical applications of artificial neural networks (ANNs) in power systems. It is the third in a series of three articles which, through a consideration of real problems, illustrates some of the practical aspects of ANN design in terms of architecture, training data requirements, selection of input features and learning algorithms. The paper discusses short term load forecasting, fault classification in double circuit transmission lines using combined unsupervised/supervised neural networks, voltage stability analysis using Kohonen neural networks, power system economic dispatch problems solution using Hopfield neural networks, and power system stabiliser design using recurrent neural networks.
  • Keywords
    load forecasting; Hopfield neural networks; Kohonen neural networks; architecture; artificial neural networks; combined unsupervised/supervised neural networks; double circuit transmission lines; fault classification; input features selection; learning algorithms; power system applications; power system economic dispatch; power system stabiliser design; power systems; recurrent neural networks; short term load forecasting; training data requirements; voltage stability analysis;
  • fLanguage
    English
  • Journal_Title
    Power Engineering Journal
  • Publisher
    iet
  • ISSN
    0950-3366
  • Type

    jour

  • DOI
    10.1049/pe:19980609
  • Filename
    745267