• DocumentCode
    2711153
  • Title

    A Genetic Algorithm Based Approach to Allocation of SVC Considering System Loadability

  • Author

    Kazemi, A. ; Shahnazari, M. ; Naghshbandi, A.H.

  • Author_Institution
    Iran Univ. of Sci. & Technol., Tehran
  • Volume
    2
  • fYear
    2006
  • fDate
    6-8 Sept. 2006
  • Firstpage
    442
  • Lastpage
    446
  • Abstract
    This paper presents the application of genetic algorithm (GA) to determine the location and compensation level of SVC in power systems. The loading margin of the system has been selected as objective function and real code GA has been used for chromosome presentation. The proposed method has been implemented on the IEEE 14-bus system. The results show the effectiveness of this method
  • Keywords
    flexible AC transmission systems; genetic algorithms; static VAr compensators; FACTS; IEEE 14-bus system; SVC allocation; chromosome presentation; genetic algorithm; power systems; Control systems; Costs; Genetic algorithms; Load flow; Phase shifters; Power electronics; Power system stability; Power systems; Static VAr compensators; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference, 2006. UPEC '06. Proceedings of the 41st International
  • Conference_Location
    Newcastle upon Tyne
  • Print_ISBN
    978-186135-342-9
  • Type

    conf

  • DOI
    10.1109/UPEC.2006.367516
  • Filename
    4218723