• DocumentCode
    2523753
  • Title

    Expert system for classification of measured three-phase unbalanced voltage dips

  • Author

    Deihimi, Ali ; Momeni, Abolfazl

  • Author_Institution
    Dept. of Electr. Eng., Bu-Ali Sina Univ., Hamedan, Iran
  • fYear
    2010
  • fDate
    10-12 Sept. 2010
  • Firstpage
    213
  • Lastpage
    216
  • Abstract
    This paper presents a new ANN-based expert system to classify voltage sags using measured three-phase voltages. The results of the proposed system is compared to those of previously proposed works such as symmetrical component (SC), six-phase (6P), three-phase three-angle (TPTA) algorithms developed to identify voltage sags of types C and D. Numerical examples and recorded voltages are used to validate the expert system.
  • Keywords
    expert systems; neural nets; power engineering computing; power supply quality; ANN-based expert system; recorded voltages; symmetrical component; three-phase three-angle algorithms; three-phase unbalanced voltage dips; voltage sag classification; Classification; Expert system; Voltage dips (sags);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanical and Electrical Technology (ICMET), 2010 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-8100-2
  • Electronic_ISBN
    978-1-4244-8102-6
  • Type

    conf

  • DOI
    10.1109/ICMET.2010.5598351
  • Filename
    5598351