• DocumentCode
    2907423
  • Title

    Realization of maximum power tracking approach for photovoltaic array systems based on T -S fuzzy method

  • Author

    Lian, Kuang-Yow ; Ouyang, Ya-Lun ; Wu, Wei-Lun

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    1874
  • Lastpage
    1879
  • Abstract
    A micro-grid power system consisting of a photovoltaic (PV) array panel, DC/DC converter, and a battery is considered in this research. This thesis proposes a T-S fuzzy method to deal with the power tracking problem of the power generating systems. Then, the stability analysis is carried out using Lyapunov direct method whereas the control problem is formulated into the feasibility of solving a set of linear matrix inequality (LMIs). To verify the performance, we focus on the experiment in hardware realization. To this end, we establish an experiment environment for the solar power system, which includes an SP75 solar module, a DC/DC buck converter, an A/D DS1103 card, and a real-time interface, dSPACE. The results show satisfactory performances for the proposed scheme.
  • Keywords
    DC-DC power convertors; Lyapunov methods; fuzzy control; linear matrix inequalities; photovoltaic power systems; power generation control; power grids; power system stability; solar cells; tracking; DC/DC converter; Lyapunov direct method; T-S fuzzy control method; battery; linear matrix inequality; maximum power tracking approach; micro grid power system; photovoltaic array system; solar cell; solar power generating system; stability analysis; Batteries; DC-DC power converters; Fuzzy systems; Linear matrix inequalities; Photovoltaic systems; Power generation; Power system analysis computing; Power system stability; Solar power generation; Stability analysis; Output tracking; PV array; T -S fuzzy system; virtual desired variables;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-1818-3
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2008.4630625
  • Filename
    4630625