• DocumentCode
    1269590
  • Title

    Artificial neural network based dynamic load modeling

  • Author

    Hiyama, Takashi ; Tokieda, Masatomo ; Hubbi, Walid ; Andou, Niroaki

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Kumamoto Univ., Japan
  • Volume
    12
  • Issue
    4
  • fYear
    1997
  • fDate
    11/1/1997 12:00:00 AM
  • Firstpage
    1576
  • Lastpage
    1583
  • Abstract
    The aim of this research is to investigate the use of artificial neural networks (ANN) with feedback loops for the modeling of power system dynamic loads using field data. In addition to the power demand before the transient, only the phase voltages are assumed available at the recall stage. It is found that the load dynamics can be identified using the ANN developed for the season and the location of the load being emulated. The frequency response of the tested load is also obtained using the achieved ANN model
  • Keywords
    frequency response; load (electric); neural nets; power system analysis computing; artificial neural networks; computer simulation; dynamic load modeling; feedback loops; frequency response; power systems; pre-transient power demand; Artificial neural networks; Feedback loop; Frequency response; Load modeling; Power demand; Power system dynamics; Power system modeling; Power system transients; Testing; Voltage;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.627861
  • Filename
    627861