• DocumentCode
    2852770
  • Title

    Parameters´ sensitivity analysis of grid-connected photovoltaic power generation model under different kinds of disturbances

  • Author

    Shu, Lian ; Zheng, Jinghong ; Shen, Xinwei ; Yin, Huiyang ; Li, Jinxia

  • Author_Institution
    Inst. of Electr. & New Energy, Three Gorges Univ., Yichang, China
  • fYear
    2012
  • fDate
    24-27 June 2012
  • Firstpage
    658
  • Lastpage
    661
  • Abstract
    Establishment of accurate model of photovoltaic power station is the foundation for analyzing the security and stability of the electricity grid and photovoltaic power station. There are still difficulties to identify all the parameters of photovoltaic power stations accuracy. First establish simulation model of grid-connected photovoltaic system. Then analyze the parameters of inverter and filter, which influence the photovoltaic system tendencies, by the track sensitivity analysis method. Analyze sensitivity in the situations of three-phase fault, irradiance step-down, and DC voltage-drop. It proves that parameters of the outer voltage loop control and filter parameter have higher sensitivity than other inverter control parameters on the active and reactive power.
  • Keywords
    invertors; photovoltaic power systems; power system security; reactive power control; sensitivity analysis; voltage control; DC voltage-drop; active power; disturbances; electricity grid security; electricity grid stability; filter; filter parameter; grid-connected photovoltaic power generation model; inverter control parameters; inverter parameters; irradiance step-down; outer voltage loop control; parameters sensitivity analysis; photovoltaic power stations security; photovoltaic power stations stability; photovoltaic system; reactive power; three phase fault; Control systems; Inverters; Power filters; inverter control; sensitivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-2363-5
  • Type

    conf

  • DOI
    10.1109/EEESym.2012.6258745
  • Filename
    6258745