• DocumentCode
    622121
  • Title

    Optimum D-STATCOM placement using firefly algorithm for power quality enhancement

  • Author

    Farhoodnea, Masoud ; Mohamed, Amr ; Shareef, Hussain ; Zayandehroodi, Hadi

  • Author_Institution
    Dept. of Electr., Electron. & Syst. Eng., Univ. Kebangsaan Malaysia, Bangi, Malaysia
  • fYear
    2013
  • fDate
    3-4 June 2013
  • Firstpage
    98
  • Lastpage
    102
  • Abstract
    This paper presents a novel method to optimally place the Distribution Static Synchronous Compensator (DSTATCOM) in a distribution system using the firefly algorithm (FA) for enhancing power quality. In the proposed method, the average voltage total harmonic distortion (THDV), average voltage deviation and total investment cost are considered as the objective functions, where voltage and power limits for individual buses are chosen as the optimization constraints. The performance of the proposed FA is investigated using the Matlab software on the radial IEEE 16bus test system. The obtained results are also compared with the particle swarm optimization and genetic algorithm. The simulation results verify the ability of FA in accurately determining the optimal location and size of the D-STATCOM in radial distribution systems.
  • Keywords
    genetic algorithms; harmonic distortion; investment; particle swarm optimisation; power distribution economics; power supply quality; static VAr compensators; FA; Matlab software; THDV; average voltage deviation; average voltage total harmonic distortion; distribution static synchronous compensator; firefly algorithm; genetic algorithm; objective functions; optimization constraints; optimum D-STATCOM placement; particle swarm optimization; power quality enhancement; radial IEEE 16 bus test system; radial distribution systems; total investment cost; Automatic voltage control; Genetic algorithms; Harmonic analysis; Linear programming; Optimization; Power quality; Voltage fluctuations; D-STATCOM; firefly algorithm; optimal placement; voltage sag;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4673-5072-3
  • Type

    conf

  • DOI
    10.1109/PEOCO.2013.6564523
  • Filename
    6564523