• DocumentCode
    26222
  • Title

    Modelling robustness for a flexible grid-tied photovoltaic generation system

  • Author

    Peng Li ; Ziheng Yin ; Jing Zhang ; Duo Xu

  • Author_Institution
    State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Baoding, China
  • Volume
    9
  • Issue
    4
  • fYear
    2015
  • fDate
    5 2015
  • Firstpage
    315
  • Lastpage
    322
  • Abstract
    Robustness to modelling inaccuracy is a vital characteristic of a controller, because no matter how accurate a model is, modelling inaccuracies always exist. However, it is difficult to achieve satisfactory nominal and robust performance of a grid-tied photovoltaic (PV) generation system at the same time, using traditional controller design methods. To solve this problem, a μ-synthesis control method combined with the application of linear fraction transformation (LFT) is proposed in this study. The proposed method is designed with object transforming and implemented with DK iteration. The μ-analysis and simulation results prove that the objective can be achieved under various microgrid conditions, determined by factors such as grid connection point voltage, load conditions and component parameter perturbations. Compared with traditional controller design methods, the grid-tied PV generation system under μ-synthesis control exhibits comparatively large perturbation margin for nominal performance and robust stability, and simultaneously is capable of guaranteeing the preset perturbation range for robust performance.
  • Keywords
    control system synthesis; distributed power generation; photovoltaic power systems; power grids; robust control; μ-analysis; μ-synthesis control method; DK iteration; LFT; PV generation system; component parameter perturbation; controller design methods; flexible grid-tied photovoltaic generation system; grid connection point voltage; linear fraction transformation; microgrid; robust stability;
  • fLanguage
    English
  • Journal_Title
    Renewable Power Generation, IET
  • Publisher
    iet
  • ISSN
    1752-1416
  • Type

    jour

  • DOI
    10.1049/iet-rpg.2014.0098
  • Filename
    7084784