• DocumentCode
    1716742
  • Title

    Applying genetic algorithms to REI system equivalents

  • Author

    Ivanov, Ovidiu ; Gavrilai, M.

  • Author_Institution
    Electr. Eng. Fac., Gh. Asachi Tech. Univ. of Iasi, Iasi, Romania
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper describes a new approach to the problem of the REI equivalent design, employing genetic algorithms. The optimum design of the REI equivalent aims to determine the number of REI buses to be used and the aggregation of external buses into the REI buses, using the minimum line power flows absolute errors in the internal system as optimization criterion, over a set of simulated node and branch contingencies. The method was tested using a modified version of the IEEE 57 bus test system.
  • Keywords
    genetic algorithms; power system interconnection; REI system equivalents; genetic algorithms; load flow analysis; minimum line power flows absolute errors; static network equivalents; Algorithm design and analysis; Design optimization; Genetic algorithms; Load flow; Load flow analysis; Power system analysis computing; Power system interconnection; Power system modeling; Power system security; System testing; REI equivalent; Static network equivalents; genetic algorithms; load flow analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2009 IEEE Bucharest
  • Conference_Location
    Bucharest
  • Print_ISBN
    978-1-4244-2234-0
  • Electronic_ISBN
    978-1-4244-2235-7
  • Type

    conf

  • DOI
    10.1109/PTC.2009.5281875
  • Filename
    5281875