• DocumentCode
    3537538
  • Title

    A GA based methodology for improving real-time voltage profile for large power grids

  • Author

    Leone-Filho, M. ; Ohishi, T.

  • Author_Institution
    Dept. of Syst. Eng., State Univ. of Campinas, Campinas, Brazil
  • fYear
    2012
  • fDate
    3-5 Sept. 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper describes a methodology for improving voltage profile for power transmission systems. Basically, it consists in tuning the transformers´ taps in a way that the buses voltages in the same area would stay around the same level. This approach was built focusing Brazil´s national integrated power system which is extremely regulated and centralized. This methodology uses a Genetic Algorithm (GA) with integer representation to search for taps sets that would lead the buses´ voltages to a desired level (generally 1p:u:). This new research was first validated with IEEE 30 buses and IEEE 118 buses test cases and then, tuned to deal with large interconnected power grids. The results showed that the proposed methodology was able to achieve its goal in getting voltages closer to the desired value.
  • Keywords
    genetic algorithms; power grids; power system interconnection; power transformers; Brazil national integrated power system; GA based methodology; IEEE 118 bus test; IEEE 30 bus test; bus voltages; genetic algorithm; integer representation; large-interconnected power grids; power transmission systems; real-time voltage profile; tap sets; transformer taps; Equations; Genetic algorithms; Mathematical model; Power grids; Sociology; Statistics; Tuning; Power Grid; Power flow; Real-time Operation; Security; Transformer Taps;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution: Latin America Conference and Exposition (T&D-LA), 2012 Sixth IEEE/PES
  • Conference_Location
    Montevideo
  • Print_ISBN
    978-1-4673-2672-8
  • Type

    conf

  • DOI
    10.1109/TDC-LA.2012.6319139
  • Filename
    6319139