This paper presents a MATLAB based user friendly software tool called as PV.MY for optimal sizing of photovoltaic (PV) systems.\r\nThe software has the capabilities of predicting the metrological variables such as solar energy, ambient temperature and wind speed\r\nusing artificial neural network (ANN), optimizes the PV module/ array tilt angle, optimizes the inverter size and calculate optimal\r\ncapacities of PV array, battery, wind turbine and diesel generator in hybrid PV systems. The ANN based model for metrological\r\nprediction uses four meteorological variables, namely, sun shine ratio, day number and location coordinates. As for PV system\r\nsizing, iterative methods are used for determining the optimal sizing of three types of PV systems, which are standalone PV\r\nsystem, hybrid PV/wind system and hybrid PV/diesel generator system. The loss of load probability (LLP) technique is used for\r\noptimization in which the energy sources capacities are the variables to be optimized considering very low LLP. As for determining\r\nthe optimal PV panels tilt angle and inverter size, the Liu and Jordan model for solar energy incident on a tilt surface is used in\r\noptimizing the monthly tilt angle, while a model for inverter efficiency curve is used in the optimization of inverter size.
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