• DocumentCode
    2101894
  • Title

    Optimal multi-type FACTS allocation using genetic algorithm to improve power system security

  • Author

    Baghaee, H.R. ; Jannati, M. ; Vahidi, B. ; Hosseinian, S.H. ; Jazebi, S.

  • Author_Institution
    Electr. Eng. Dept., Amirkabir Univ. of Technol., Tehran
  • fYear
    2008
  • fDate
    12-15 March 2008
  • Firstpage
    162
  • Lastpage
    166
  • Abstract
    As power transfer increases, operation of power system become gradually more complex. Short circuit level increases and so power system will become less secure. Moreover, the problem of power system security has become a mater of grave concern in the deregulated power industry. FACTS devices can control power flow because of their flexibility and fast control characteristics. Placement of these devices in suitable location can lead to control in line flow and maintain bus voltages in desired level and so improve power system security. This paper presents a novel algorithm for allocation of FACTS devices based on genetic algorithm (GA). Cost function of FACTS devices and power system losses are considered in this algorithm. Proposed algorithm is tested on IEEE 30 bus power system for optimal allocation of multi-type FACTS devices and results are presented.
  • Keywords
    IEEE standards; flexible AC transmission systems; genetic algorithms; power system security; FACTS devices; IEEE 30 bus power system; genetic algorithm; multi-type FACTS allocation; power system losses; power system security; Control systems; Genetic algorithms; Load flow; Power capacitors; Power system modeling; Power system reliability; Power system security; Power transmission lines; Static VAr compensators; Thyristors; FACTS Devices; Genetic Algorithm; Optimal Allocation; Power System Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Conference, 2008. MEPCON 2008. 12th International Middle-East
  • Conference_Location
    Aswan
  • Print_ISBN
    978-1-4244-1933-3
  • Electronic_ISBN
    978-1-4244-1934-0
  • Type

    conf

  • DOI
    10.1109/MEPCON.2008.4562387
  • Filename
    4562387