• DocumentCode
    252523
  • Title

    Prediction of Grid Connected Photovoltaic power systems performance using mathematical approach

  • Author

    Faranadia, A.H. ; Omar, A.M. ; Mohamed, Nor Syafiqah Syahirah

  • Author_Institution
    Sch. of Electr. Eng., Univ. of Technol. MARA (UiTM), Shah Alam, Malaysia
  • fYear
    2014
  • fDate
    11-12 Aug. 2014
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    This paper presents prediction of Grid Connected Photovoltaic (GCPV) power systems performance parameters towards Malaysia climate variations (solar irradiance and module temperature) by using Mathematical approach. The actual and prediction data measurement were analyzed on three types of solar cell technologies; monocrystalline, polycrystalline and thin film. Each PV array works with different types of inverters which are located at Green Energy Research Center (GERC), University of Technology MARA (UiTM) Shah Alam, Selangor. The prediction and detail analysis of electrical parameters are carried out by using MathCAD software. The results obtained show good agreement between prediction and actual data.
  • Keywords
    load forecasting; mathematical analysis; photovoltaic power systems; power grids; sunlight; GCPV power systems; GERC; Green Energy Research Center; Malaysia climate; MathCAD software; PV array; UiTM; University of Technology MARA; grid connected photovoltaic power systems; monocrystalline; polycrystalline; prediction data measurement; solar cell technologies; solar irradiance; thin film; Arrays; Equations; Inverters; Market research; Mathematical model; Photovoltaic systems; Temperature; grid connected photovoltaic (GCPV); monocrystalline (mono-Si); polycrystalline(p-Si); prediction; thin film(TF);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and System Graduate Research Colloquium (ICSGRC), 2014 IEEE 5th
  • Conference_Location
    Shah Alam
  • Print_ISBN
    978-1-4799-5691-3
  • Type

    conf

  • DOI
    10.1109/ICSGRC.2014.6908688
  • Filename
    6908688