A software tool for optimal sizing of PV systems in Malaysia

Tamer Khatib, Azah Mohamed, Kamaruzzaman Sopian

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number969248
JournalModelling and Simulation in Engineering
Volume2012
DOIs
Publication statusPublished - 2012

Fingerprint

Photovoltaic System
Malaysia
Loss of load probability
Software Tools
Inverter
Tilt
Solar energy
Neural networks
Solar Energy
Iterative methods
Hybrid systems
Angle
Sun
Wind turbines
MATLAB
Artificial Neural Network
Optimise
Generator
Optimization
Wind Turbine

ASJC Scopus subject areas

  • Computer Science Applications
  • Modelling and Simulation
  • Engineering(all)

Cite this

A software tool for optimal sizing of PV systems in Malaysia. / Khatib, Tamer; Mohamed, Azah; Sopian, Kamaruzzaman.

In: Modelling and Simulation in Engineering, Vol. 2012, 969248, 2012.

Research output: Contribution to journalArticle

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