• DocumentCode
    2314242
  • Title

    Power System Security Improvement by Using Differential Evolution Algorithm Based FACTS Allocation

  • Author

    Baghaee, H.R. ; Vahidi, B. ; Jazebi, S. ; Gharehpetian, G.B. ; Kashefi, A.

  • Author_Institution
    Electr. Eng. Dept., Amirkabir Univ. of Technol., Tehran
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The fast development of restructuring, the problem of power system security has become a matter of grave concern in deregulated power industry. To maintain security of such systems, it is desirable to plan suitable measures to improve power system security margins. FACTS devices can regulate the active and reactive power as well as voltage-magnitude. Placement of these devices in suitable location can lead to control in line flow and maintain bus voltages in desired level and so improve security margins. This paper presents a differential evolution algorithm (DEA) based allocation of FACTS devices considering cost function of FACTS devices and power system losses. Proposed algorithm is tested on IEEE 30 bus power system for optimal allocation of multi-type FACTS devices and the results are presented and discussed.
  • Keywords
    electricity supply industry deregulation; flexible AC transmission systems; power system security; FACTS allocation; bus voltages; deregulated power industry; differential evolution algorithm; power system security; Control systems; Load flow; Power capacitors; Power system modeling; Power system planning; Power system reliability; Power system security; Power transmission lines; Thyristors; Voltage control; Differential Evolution Algorithm; FACTS Devices; Optimal Allocation; Power System Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology and IEEE Power India Conference, 2008. POWERCON 2008. Joint International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4244-1763-6
  • Electronic_ISBN
    978-1-4244-1762-9
  • Type

    conf

  • DOI
    10.1109/ICPST.2008.4745275
  • Filename
    4745275