• DocumentCode
    3218484
  • Title

    A Study of Co-evolutionary Genetic Algorithm in Relay Protection System

  • Author

    Wang, Qingliang ; Fu, Zhouxing ; Wang, Xiaojian ; Hou, Yuanbin ; Li, Ning ; Liu, Qing

  • Author_Institution
    Sch. of Electr. & Control Eng., Xian Univ. of Sci. & Technol., Xian
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Oct. 2008
  • Firstpage
    8
  • Lastpage
    11
  • Abstract
    In view of the coordination difficulty problems existing in relay protection system and high security demand of power supply, the global optimization model for protection settings was set up in power supply network based on the analysis of relay characteristics. A new multi-parameter co-evolutionary genetic algorithm, used to optimize the protection settings, was presented and improved with establishing sub-population, cooperative operator and density operator. According to the specific demands of relay protection, the constraint interval coding method was adopted and the weight coefficients in the model were studied. The model with its algorithm was validated with an distribution system test that gave the applicable results. Security and reliability can be effectively guaranteed based on the integrated operation time decreasing in power supply network.
  • Keywords
    genetic algorithms; power supply quality; power system protection; power system relaying; power system reliability; power system security; relay protection; constraint interval coding method; global optimization model; multiparameter coevolutionary genetic algorithm; power supply network; power supply protection; power supply reliability; power supply security; relay protection system; Genetic algorithms; Intelligent networks; Power supplies; Power system modeling; Power system protection; Power system relaying; Power system reliability; Power system security; Protective relaying; System testing; co-evolutionary genetic algorithm; cooperative operator; density operator; power supply security; setting optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3357-5
  • Type

    conf

  • DOI
    10.1109/ICICTA.2008.217
  • Filename
    4659432