• DocumentCode
    2808380
  • Title

    Evaluation of a load composition estimation method using synthetic data

  • Author

    Sagi, Deepak R. ; Ranade, Satish J. ; Ellis, Abraham

  • Author_Institution
    Klipsch Sch. of Electr. & Comput. Eng., New Mexico State Univ., Las Cruces, NM, USA
  • fYear
    2005
  • fDate
    23-25 Oct. 2005
  • Firstpage
    582
  • Lastpage
    588
  • Abstract
    This paper explores a method for load composition estimation using fuzzy regression. The method is examined using synthetic data to test the accuracy and robustness. The results obtained show that aggregate load composition can be estimated with acceptable accuracy using assumed load component parameters.
  • Keywords
    fuzzy set theory; load flow; regression analysis; aggregate load composition; fuzzy regression; load component parameters; load composition estimation method; synthetic data; Load management; Load modeling; Mathematical model; Power system dynamics; Power system modeling; Power system stability; Power system transients; Robustness; Testing; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Symposium, 2005. Proceedings of the 37th Annual North American
  • Print_ISBN
    0-7803-9255-8
  • Type

    conf

  • DOI
    10.1109/NAPS.2005.1560592
  • Filename
    1560592