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Modelling and Simulation in Engineering
Volume 2012, Article ID 969248, 11 pages
Research Article

A Software Tool for Optimal Sizing of PV Systems in Malaysia

1Department of Electrical, Electronic & System Engineering, Faculty of Engineering & Built Environment, The National University of Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
2Solar Energy Research Institute, The National University of Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia

Received 6 January 2012; Accepted 22 February 2012

Academic Editor: Bauke Vries

Copyright © 2012 Tamer Khatib et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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