System Performance Modelling of a Grid-Connected Photovoltaic System in UiTM, Malaysia
This paper presents the prediction of grid-connected photovoltaic (GCPV) system installed at Green Energy Research Center, Universiti Teknologi MARA, Shah Alam, Malaysia located at latitude of 2 °N 101°E. By using Mathematical approach and climate variations of Malaysia such as module temperature and solar irradiance, the prediction of power systems performance parameters were analyzed. The parameter of the study is limited to 26 consecutive days with filter data of 80W/m2 irradiance. This study conducted by using monocrystalline and polycrystalline solar cell technologies. The actual and the predicted data measurement of these solar cell technologies were analyzed. The empirical models were compared according to the coefficient of determination (R2) and percentage error. MathCAD software was used in order to calculate the prediction and detail analysis of electrical parameters. Finally, the results show a good accuracy between actual and prediction data.
Photovoltaic, prediction, monocrystalline, polycrystalline, grid-connected photovoltaic (GCPV)
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Published by INSIGHT - Indonesian Society for Knowledge and Human Development