• DocumentCode
    724515
  • Title

    Research on self-optimization control methods for single phase PV system

  • Author

    Zhao Huang ; Jiangzhou Cheng

  • Author_Institution
    Coll. of Electr. Eng. & New Energy, Three Gorges Univ., Yichang, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    5048
  • Lastpage
    5053
  • Abstract
    Actual characteristics of single phase PV cell are simply introduced. The traditional perturbation & observation method, incremental conductance algorithm and an improved self-optimization control strategy of dynamically adjusting tracking paces are analyzed considering different work conditions and the applications are discussed in detail. Simulation results firstly show that the automatic optimization process can be realized with all of the proposed methods the feasibility of which are testified; besides, the superiority of the improved solution scheme is effectively verified through comparison of the measured results and with the developed regulation system on the basis of fuzzy logic technology, excellent electrical power quality can be sent out with smooth amplitude, rapid response and low fluctuation content.
  • Keywords
    fuzzy control; fuzzy logic; photovoltaic power systems; power system control; electrical power quality; fuzzy logic technology; incremental conductance algorithm; observation method; perturbation method; self-optimization control methods; single phase PV system; Mathematical model; Maximum power point trackers; Optimization; Temperature; Temperature control; Voltage control; Fuzzy Controller; Incremental Conductance; MPPT; PV Cell; Perturbation and Observation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162828
  • Filename
    7162828