• DocumentCode
    2030334
  • Title

    Improved power quality monitor placement using innovative indices

  • Author

    Haghbin, M. ; Farjah, E. ; Mazaherifar, H.

  • Author_Institution
    Dept. of Electr. Eng., Shiraz Univ., Shiraz, Iran
  • fYear
    2013
  • fDate
    13-14 Feb. 2013
  • Firstpage
    501
  • Lastpage
    509
  • Abstract
    In this paper a new approach for determining the location of the source of voltage sag is presented. First, the contribution of short circuits to the creation of voltage sag is discussed. Then, considering the results of short circuit analysis, monitor arrangements that can monitor the entire network effectively, are found using a genetic algorithm approach. As the next step, appropriate indices are introduced for determining the discrimination of the data recorded by the monitors, and the amount of overlap between borders of the monitors. The method used for the determination of the indices is ANOVA and fuzzy logic. Next a fuzzy inference system is designed to decide which of the found arrangements is the best, with respect to the defined indices.
  • Keywords
    fuzzy logic; fuzzy reasoning; genetic algorithms; power engineering computing; power supply quality; short-circuit currents; statistical analysis; ANOVA; fuzzy inference system; fuzzy logic; genetic algorithm approach; innovative indices; power quality monitor placement; short circuit analysis; voltage sag source location determination; Biological cells; Indexes; Monitoring; Analysis of variance (ANOVA); Power quality; fuzzy system; genetic algorithm; neural network; sag source location; voltage sag;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, Drive Systems and Technologies Conference (PEDSTC), 2013 4th
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4673-4481-4
  • Electronic_ISBN
    978-1-4673-4483-8
  • Type

    conf

  • DOI
    10.1109/PEDSTC.2013.6506760
  • Filename
    6506760