• DocumentCode
    133158
  • Title

    PV system modeling and a global-planning design for its controller parameters

  • Author

    Yifeng Xie ; Jingyu Huang ; Xiaokang Liu ; Fang Zhuo ; Baoquan Liu ; Hailong Zhang

  • Author_Institution
    Sch. of Electr. Eng., Xian Jiaotong Univ., Xian, China
  • fYear
    2014
  • fDate
    16-20 March 2014
  • Firstpage
    3132
  • Lastpage
    3135
  • Abstract
    The conventional mathematic model of PV (Photovoltaic) cells contains logarithmic terms, which is not conducive to derivation calculation in small-signal modeling. The parameters of PV system are coupling due to its double-loop control method, and it´s hard to precisely choose controller parameters. To solve these two problems above, this paper is based on PV system connected to an infinite power grid, uses the linear-fitting model of PV cells which is conducive to derivation instead of the original engineering one in small-signal modeling, and analyses the small-signal stability of the entire system. Meanwhile, a global-planning design for controller parameters is proposed to globally provide the optimal controller parameters. Simulation results show that the linear-fitting model of PV cells is very similar to the original engineering one, and the proposed design for controller parameters can provide a solution to calculate the global optimization.
  • Keywords
    mathematical analysis; optimal control; power generation control; power generation planning; solar cells; PV cells; PV system modeling; PV system parameters; controller parameters; double-loop control method; global optimization; global-planning design; linear-fitting model; mathematic model; optimal controller parameters; photovoltaic cells; power grid; Analytical models; Eigenvalues and eigenfunctions; Equations; Inverters; Mathematical model; Power system stability; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Power Electronics Conference and Exposition (APEC), 2014 Twenty-Ninth Annual IEEE
  • Conference_Location
    Fort Worth, TX
  • Type

    conf

  • DOI
    10.1109/APEC.2014.6803752
  • Filename
    6803752