• DocumentCode
    2015211
  • Title

    Sizing and location of shunt FACTS devices in power system using genetic algorithms

  • Author

    Rodriguez, Claudia ; Rios, Mario A.

  • Author_Institution
    Dept. of Electr. Eng. & Electron., Univ. de los Andes, Bogota, Colombia
  • fYear
    2013
  • fDate
    16-20 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A genetic algorithm to find the optimal location and sizing of shunt FACTS devices is used to optimize a multi-objective problem, which is formed by first swing stability margin and voltage stability margin. The first swing stability margin is determined by analyzing the output results of the conventional time domain simulation method, basically, machine angles and speeds. On the other hand, the voltage stability margin or loading margin is calculated using continuous power flow. The analysis is done for critical contingencies that cause problems both for voltage stability and first swing stability margin. In order to achieve the objective proposed, the location and sizing of shunt FACTS devices are optimized simultaneously. The method is tested on a 68 bus system.
  • Keywords
    genetic algorithms; power engineering computing; power system simulation; 68 bus system; continuous power flow; conventional time domain simulation method; genetic algorithms; loading margin; location; machine angles; multiobjective problem; power system; shunt FACTS devices; sizing; voltage stability margin; Automatic voltage control; Genetic algorithms; Loading; Power system stability; Stability criteria; Static VAr compensators; FACTS Devices; Genetic Algorithms; Power System Stability; Voltage Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech (POWERTECH), 2013 IEEE Grenoble
  • Conference_Location
    Grenoble
  • Type

    conf

  • DOI
    10.1109/PTC.2013.6652081
  • Filename
    6652081