• DocumentCode
    230357
  • Title

    Modeling and operation characteristics of large-scale photovoltaic power plants based on PSASP

  • Author

    Yifei Xu ; Meng Qin ; Jiao He ; Dehua Zhang

  • Author_Institution
    Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    3226
  • Lastpage
    3230
  • Abstract
    Photovoltaic (PV) power plants which convert light energy into electrical energy are developing rapidly in recent years due to the improvement of environmental awareness amongst the general public. As large-scale PV power plants are connected to the grid, they will have a great impact on the power grid. Due to the lack of the model of large-scale PV power plants in current power system analysis software. A novel model of the PV power plant is constructed based on PSASP7.0 in this paper. After that, a new method of the maximum power point tracking (MPPT) is designed. Then, the model is debugged and verified in the case of static state, dynamic state and grid failures by the WSCC-9 example system. Finally, results show that the model proposed is correct and reasonable.
  • Keywords
    maximum power point trackers; photovoltaic power systems; power generation faults; power generation reliability; power system analysis computing; MPPT; PSASP7.0; WSCC-9 example system; dynamic state; electrical energy; grid failures; large-scale PV power plants; large-scale photovoltaic power plants; light energy; maximum power point tracking; operation characteristics; power grid; power system analysis software; static state; Analytical models; Arrays; Mathematical model; Maximum power point trackers; Photovoltaic systems; PSASP7.0; PV power plants; model; operation characteristics; the grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/ICEMS.2014.7014048
  • Filename
    7014048