• DocumentCode
    2001587
  • Title

    Direct power control modeling with optimized LCL filter for grid integrated renewables

  • Author

    Djema, Mohamed Amine ; Boudour, Mohamed ; Ladjici, Ahmed Amine

  • Author_Institution
    Lab. of Electr. Ind. Syst. (LSEI), Univ. of Sci. & Technol. Houari Boumedienne, Algiers, Algeria
  • fYear
    2015
  • fDate
    25-27 May 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The increasing presence of green energy on grid needs using of high control strategy and good power quality. For that reason this paper presents analysis and control of three phase space vector pulse width modulated (SVPWM) two level voltage source inverters (VSI) with constant switching frequency using a direct power control (DPC). In order to improve the power quality by reducing harmonic distortion, a design of LCL filter by genetic algorithm (GA) and particle swarm optimization (PSO) is also described. Comparative studies between these two methods are discussed to show the most efficient one in terms of generation and harmonics injected to the grid.
  • Keywords
    PWM invertors; genetic algorithms; harmonic distortion; particle swarm optimisation; power control; power harmonic filters; power supply quality; DPC; GA; PSO; VSI; constant switching frequency; direct power control modeling; genetic algorithm; grid integrated renewables; harmonic distortion reduction; optimized LCL filter; particle swarm optimization; power quality; three phase space vector pulse width modulated inverters; two level voltage source inverters; Active filters; Harmonic analysis; Inverters; Mathematical model; Power harmonic filters; Power quality; Reactive power; LCL filter; direct power control; genetic; harminic analysis; inverter; particle swarm optimization; power quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Engineering & Information Technology (CEIT), 2015 3rd International Conference on
  • Conference_Location
    Tlemcen
  • Type

    conf

  • DOI
    10.1109/CEIT.2015.7233179
  • Filename
    7233179