• DocumentCode
    251670
  • Title

    Genetic algorithm based optimal location of SVC in power system for voltage stability enhancement

  • Author

    Skaria, Nithin A. ; Baby, Sarin ; Anumodu, D.M.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Amaljyothi Coll. of Eng., Kottayam, India
  • fYear
    2014
  • fDate
    24-26 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Voltage instability and voltage collapse are the foremost permanent concerns of electric utilities because of blackout event occurrences around the world. Flexible AC Transmission Systems (FACTS) has been proposed as the better alternative to overcome this, as in addition to improving voltage stability they improve system performance, reliability, quality of supply and also provide environmental benefit. The type of FACTS device and their location and setting in the system have different effect on power system. For determining that optimal location which maximises voltage stability, this paper employs Genetic Algorithm (GA) based optimisation technique. Static Var Compensator (SVC) is the FACTS device used for improving voltage stability margin. To analyze the voltage stability of power system, Continuation Power Flow (CPF) analysis is used here. The study was conducted on IEEE 14 bus and modified IEEE 30 bus test systems and the optimal locations were identified.
  • Keywords
    IEEE standards; flexible AC transmission systems; genetic algorithms; load flow; power supply quality; power system reliability; power system stability; FACTS; IEEE 14 bus; IEEE 30 bus; SVC; blackout; electric utilities; flexible AC transmission systems; genetic algorithm; power flow analysis; power system voltage stability; quality of supply; static var compensator; voltage collapse; voltage instability; voltage stability enhancement; Genetic algorithms; Load flow; Power system stability; Reactive power; Stability analysis; Static VAr compensators; Thyristors; Continuation power flow; FACTS; genetic algorithm; static var compensator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Research Areas: Magnetics, Machines and Drives (AICERA/iCMMD), 2014 Annual International Conference on
  • Conference_Location
    Kottayam
  • Print_ISBN
    978-1-4799-5201-4
  • Type

    conf

  • DOI
    10.1109/AICERA.2014.6908188
  • Filename
    6908188