• DocumentCode
    2952789
  • Title

    Application of artificial intelligence techniques to obtain robust dynamic equivalents

  • Author

    Garcia-Valle, Rodrigo ; Ramirez, Juan M.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Glasgow Univ., UK
  • fYear
    2004
  • fDate
    23-25 Sept. 2004
  • Firstpage
    51
  • Lastpage
    54
  • Abstract
    This paper presents an application of artificial neural networks (ANN) to power systems. ANN are tested to construct dynamic equivalents, which is considered a hard task in the context of power systems. The main objective is to reproduce the complex voltage at frontier nodes. The simulation results prove the applicability and robustness of this innovative approach.
  • Keywords
    electric power generation; neurocontrollers; power system control; power system simulation; robust control; ANN; artificial intelligence; artificial neural networks; complex voltage reproduction; electric power systems; frontier nodes; robust dynamic equivalents; simulation; Artificial intelligence; Artificial neural networks; Humans; Power system dynamics; Power system modeling; Power system planning; Power system simulation; Power system stability; Power system transients; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Network Applications in Electrical Engineering, 2004. NEUREL 2004. 2004 7th Seminar on
  • Print_ISBN
    0-7803-8547-0
  • Type

    conf

  • DOI
    10.1109/NEUREL.2004.1416531
  • Filename
    1416531
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2952789