• DocumentCode
    165076
  • Title

    Comparison between predicted and measured generation output of a photovoltaic farm

  • Author

    Kassim, M.P. ; Abdullah, Md Pauzi ; Hassan, Mohammad Yusri ; Hussin, Faridah

  • Author_Institution
    Centre of Electr. Energy Syst. (CEES), Univ. Teknol. Malaysia (U TM), Skudai, Malaysia
  • fYear
    2014
  • fDate
    13-14 Oct. 2014
  • Firstpage
    181
  • Lastpage
    184
  • Abstract
    The generation of electricity through solar Photovoltaic (PV) is still new in Malaysia. Major obstacle for investors to invest in solar PV project is the high capital cost in addition to the uncertainty of the electrical power that can be generated by the PV. There are available software that can be used to predict the PV energy output. Since the output depends on solar radiation, the predicted results will have some errors. It is important for investor to know the value of the error to justify their investment in PV project. A 5 MWp solar PV power generations located in Northern Malaysia is used in the study to compare the predicted and measured PV generation output. The predicted output is simulated by using HOMER software while the measured output is obtained from recorded measured data. The error between predicted and measured generation output will be measured analyzed.
  • Keywords
    photovoltaic power systems; power generation economics; power system measurement; power system simulation; solar power stations; HOMER software; Northern Malaysia; electrical power uncertainty; electricity generation; generation output measurement; generation output prediction; photovoltaic farm; solar PV power generations; solar photovoltaic project; Energy measurement; Measurement uncertainty; Photovoltaic systems; Software; Solar radiation; PV farm; energy production; solar radiation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion (CENCON), 2014 IEEE Conference on
  • Conference_Location
    Johor Bahru
  • Type

    conf

  • DOI
    10.1109/CENCON.2014.6967498
  • Filename
    6967498