• DocumentCode
    27913
  • Title

    Coordination of Overcurrent Relays Using Genetic Algorithms and Unconventional Curves

  • Author

    Castillo Salazar, Carlos Alberto ; Conde Enriquez, Arturo

  • Author_Institution
    Fac. de Ing. Mec. y Electr., Univ. Autonoma de Nuevo Leon, San Nicolas de Los Garza, Mexico
  • Volume
    12
  • Issue
    8
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    1449
  • Lastpage
    1455
  • Abstract
    This paper proposes an alternative that mitigates the lack of sensitivity of overcurrent relays in highly interconnected power systems, i.e. reduce the operating time and increase their ability to detect fault conditions. From the inverse time characteristic equation, standardized by the IEEE, seeking to provide the protection with greater flexibility, the use of unconventional inverse time curves is proposed, considering each adjustment of the equation as a degree of freedom. The optimal settings for the coordination problem are obtained by the implementation of one of the evolutionary computing methods, the genetic algorithms. Furthermore, different levels of the load current are considered for each system, simulating actual behavior.
  • Keywords
    genetic algorithms; overcurrent protection; power system interconnection; power system protection; relay protection; adjustable setting; coordination problem; evolutionary computing methods; fault conditions; genetic algorithms; interconnected power systems; load current; overcurrent relays; unconventional inverse time curves; Circuit faults; Equations; Genetic algorithms; Integrated circuit interconnections; Power systems; Relays; Sensitivity; evolutionary computing; genetic algorithms; overcurrent relay; relay coordination;
  • fLanguage
    English
  • Journal_Title
    Latin America Transactions, IEEE (Revista IEEE America Latina)
  • Publisher
    ieee
  • ISSN
    1548-0992
  • Type

    jour

  • DOI
    10.1109/TLA.2014.7014513
  • Filename
    7014513