• DocumentCode
    3103323
  • Title

    A new genetic algorithm method for optimal coordination of overcurrent relays in a mixed protection scheme with distance relays

  • Author

    Abyaneh, Hossein Askarian ; Kamangar, Somayeh Sadat Hashemi ; Razavi, Farzad ; Chabanloo, Reza Mohammadi

  • Author_Institution
    Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran
  • fYear
    2008
  • fDate
    1-4 Sept. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Several optimal coordination of overcurrent relays have been done in the past by using linear programming such as simplex, two-phase simplex and dual simplex and also intelligent optimization techniques such as genetic algorithm (GA) techniques. In this paper, a powerful optimal coordination method based on GA is introduced. The objective function (OF) is developed in a way that in addition to coordination of overcurrent relays, the coordination of overcurrent and distance relays is achieved. In other words, the novelty of the paper is the modification of the existing objective function of GA, by adding a new term to OF to fulfill the coordination of both overcurrent and distance relays. The method is applied to a power network system and from the obtained results it is revealed that the new method is efficient and accurate.
  • Keywords
    genetic algorithms; overcurrent protection; power system relaying; relay protection; distance relays; genetic algorithm method; intelligent optimization techniques; linear programming; mixed protection scheme; overcurrent relay coordination; power network system; Biological cells; Circuit breakers; Circuit faults; Fault location; Genetic algorithms; Linear programming; Power system relaying; Protection; Protective relaying; Relays; Distance Relay; Genetic Algorithm; Optimal Coordination; Overcurrent Relay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference, 2008. UPEC 2008. 43rd International
  • Conference_Location
    Padova
  • Print_ISBN
    978-1-4244-3294-3
  • Electronic_ISBN
    978-88-89884-09-6
  • Type

    conf

  • DOI
    10.1109/UPEC.2008.4651442
  • Filename
    4651442