• DocumentCode
    2518102
  • Title

    Analysis of Distributed Generation Impact on the Optimal Location of Voltage Sag Monitors by Applying Genetic Algorithms

  • Author

    Espinosa-Juárez, Elisa ; Lucio, Jorge ; Hernández, Araceli

  • Author_Institution
    Electr. Eng. Fac., Univ. Michoacana de San Nicolas de Hidalgo, Morelia, Mexico
  • fYear
    2009
  • fDate
    22-25 Sept. 2009
  • Firstpage
    107
  • Lastpage
    112
  • Abstract
    In this paper, the impact of distributed generation on the optimal location of measurement equipment to detect voltage sags in a power system is analyzed. An analytical method is used to formulate the optimization problem, which guarantees the coverage of the whole system. The application of genetic algorithms is proposed to solve the problem of optimal location of measurement equipment to detect voltage sags in a power system. The methodology is implemented by using genetic algorithms routines from the Matlabreg Genetic Algorithm and Direct Search Toolboxtrade. Several case studies are showed in IEEE-24 bus Reliability Test System (RTS) and in the IEEE 57-bus Test System.
  • Keywords
    distributed power generation; genetic algorithms; power supply quality; power system measurement; distributed generation system; genetic algorithm; measurement equipment; optimization; power system; voltage sag monitoring; Algorithm design and analysis; Distributed control; Genetic algorithms; Power measurement; Power quality; Power system analysis computing; Power system measurements; Power system reliability; System testing; Voltage fluctuations; Power Quality; genetic algorithms; optimal location; voltage sags (dips);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Robotics and Automotive Mechanics Conference, 2009. CERMA '09.
  • Conference_Location
    Cuernavaca, Morelos
  • Print_ISBN
    978-0-7695-3799-3
  • Type

    conf

  • DOI
    10.1109/CERMA.2009.75
  • Filename
    5342003