• DocumentCode
    3162239
  • Title

    Simulation and analysis of the power output fluctuation of photovoltaic modules based on NREL one-minute irradiance data

  • Author

    Weidong Zhang ; Zuming Liu

  • Author_Institution
    Solar Energy Res. Instn., Yunnan Normal Univ., Kunming, China
  • Volume
    1
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    21
  • Lastpage
    25
  • Abstract
    In this paper, the power output of one PV module was simulated based on Rabl´s model, Lorenzo´s model, NREL one-minute irradiance data and other meteorological data, and three fluctuation indexes named AFM, RFC, and MFI were proposed and applied to the fluctuation analysis of one PV module´s power output. The result of simulation indicates that the fluctuation of power output of PV modules was strongly influenced by the fluctuant irradiance derived from changes of the meteorology. The results of fluctuation analysis show that the power fluctuation conditions of PV modules can be expressed by the three indexes: MFI index can represent the energy size of the power fluctuation to a certain extent, the peaks of AFM curve show good consistency compared to the sharply changing locations of power curve, the value of RFC index represents the degree of uncertainty of PV power fluctuations.
  • Keywords
    solar cells; AFM; Lorenzo model; MFI index; NREL one-minute irradiance data; PV module power output fluctuation analysis; RFC index; Rabl model; average fluctuation magnitude; energy size; fluctuation indexes; meteorological data; moving fluctuation intensity; photovoltaic modules; reverse fluctuation count; Data models; Fluctuations; Indexes; Meteorology; Photovoltaic systems; Temperature measurement; Uncertainty; PV module; fluctuation index; irradiance data; moving fluctuation intensity (MFI); power fluctuation; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Materials for Renewable Energy and Environment (ICMREE), 2013 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-3335-8
  • Type

    conf

  • DOI
    10.1109/ICMREE.2013.6893606
  • Filename
    6893606