• DocumentCode
    3011874
  • Title

    Application of Genetic Algorithm to power system voltage stability enhancement using facts devices

  • Author

    Preethi, V.A. ; Muralidharan, S. ; Rajasekar, S.

  • Author_Institution
    Power Electron. & Drives, Mepco Schlenk Eng. Coll., Virudhunagar, India
  • fYear
    2011
  • fDate
    15-17 Dec. 2011
  • Firstpage
    333
  • Lastpage
    338
  • Abstract
    Over the last two decades, voltage instability problem in power systems have become one of the most important concerns in the power industry. Recently, several network blackouts have been related to voltage collapse. The introduction of emerging Flexible AC Transmission Systems (FACTS) technology improves the Stability, reduces the losses and also reduces the cost of generation. FACTS controllers are used to control the voltage, current, impedance, phase angle and to damp the oscillations. Placing FACTS devices like SVC, TCSC, etc., in a suitable location will help to maintain bus voltages at a desired level and also to improve the Voltage Stability margins. This paper presents an effective method which is used to find the best optimal location of FACTS controllers by using metaheuristic algorithm called Genetic Algorithm. In this paper, the load flow analysis is performed by using conventional Newton Raphson technique. Different loading conditions are considered and MATLAB coding is developed for simulation.
  • Keywords
    Newton-Raphson method; electric current control; flexible AC transmission systems; genetic algorithms; heuristic programming; load flow; phase control; power system dynamic stability; static VAr compensators; voltage control; FACTS controllers; FACTS devices; MATLAB coding; Newton Raphson technique; SVC; TCSC; current control; flexible AC transmission system technology; genetic algorithm; impedance control; load flow analysis; metaheuristic algorithm; network blackouts; phase angle control; power industry; power system voltage stability enhancement; static VAR compensator; voltage collapse; voltage control; voltage instability problem; Genetic algorithms; Power capacitors; Power system stability; Stability criteria; Static VAr compensators; Thyristors; FACTS controllers; Genetic Algorithm; Stability margin; Voltage collapse;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advancements in Electrical, Electronics and Control Engineering (ICONRAEeCE), 2011 International Conference on
  • Conference_Location
    Sivakasi
  • Print_ISBN
    978-1-4577-2146-5
  • Type

    conf

  • DOI
    10.1109/ICONRAEeCE.2011.6129806
  • Filename
    6129806