• DocumentCode
    3251406
  • Title

    A multi-objective Bees Algorithm for optimum allocation of FACTS devices for restructured power system

  • Author

    Idris, R. Mohamad ; Khairuddin, A. ; Mustafa, M.W.

  • Author_Institution
    Dept. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2009
  • fDate
    23-26 Jan. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, a novel multi-objective bees algorithm (MOBA) is used for the optimal allocation of FACTS devices in restructured power system. To enhance the available transfer capability (ATC) of power transactions between source and sink areas and minimizing the overall system cost function, which comprises of the investments costs of FACTS devices and generation cost the problem is formulated as multi-objective optimization. Three types of FACTS are simulated in this study namely thyristor controlled series compensator (TCSC), static var compensator (SVC) and thyristor controlled phase shift transformer (TCPST). An IEEE30 bus system is used to demonstrate the effectiveness of the algorithm as an optimization tool. A non-dominated sorting GA-II technique configured to the same purpose is used for validation purposes. The results obtained are encouraging.
  • Keywords
    flexible AC transmission systems; genetic algorithms; power transformers; static VAr compensators; thyristor applications; FACTS devices; available transfer capability; investments costs; multiobjective bees algorithm; nondominated sorting GA-II technique; power system restructuring; static var compensator; thyristor controlled phase shift transformer; thyristor controlled series compensator; Cost function; Flexible AC transmission systems; Investments; Power capacitors; Power electronics; Power generation; Power system simulation; Power systems; Static VAr compensators; Thyristors; ATC; MOBA; SVC; TCPST; TCSC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2009 - 2009 IEEE Region 10 Conference
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-4546-2
  • Electronic_ISBN
    978-1-4244-4547-9
  • Type

    conf

  • DOI
    10.1109/TENCON.2009.5395826
  • Filename
    5395826