• DocumentCode
    1431708
  • Title

    Using Genetic Algorithms and Fuzzy Programming to Monitor Voltage Sags and Swells

  • Author

    Almeida, C.F.M. ; Kagan, N.

  • Author_Institution
    Univ. of Sao Paulo, São Paulo, Brazil
  • Volume
    26
  • Issue
    2
  • fYear
    2011
  • Firstpage
    46
  • Lastpage
    53
  • Abstract
    A genetic algorithms and fuzzy programming methodology can help determine the minimum number of meters (and their location) needed to monitor voltage sags and swells in power networks. This paper proposes a methodology that determines the minimal number of power-quality meters needed to monitor a power network and identifies the buses on which those meters should be installed.
  • Keywords
    fuzzy set theory; genetic algorithms; power meters; power supply quality; fuzzy programming methodology; genetic algorithms; power networks; power-quality meters; voltage sags; voltage swells; Circuit faults; Convergence; Genetic algorithms; Power quality; Power system planning; Power transmission lines; Redundancy; Resource management; Voltage control; Fuzzy sets theory; Intelligent systems; genetic algorithms; optimal meter allocation; power quality monitoring; voltage sags and swells;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2011.2
  • Filename
    5696715
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1431708