Data collection for optimiation sizing of a hybrid photovoltaic-wind system in East Coast of Malaysia

Abstract

In today's world of enhancing the renewable energy technologies, the demands of electricity generation from renewable energy has been increasing rapidly. Due to that, many researchers are interested in this field and thus many studies had been done. In this study, the hybrid photovoltaic-wind system which produced electrical energy from both solar radiation via solar cells and wind energy by wind turbine was studied. The insolation and wind speed data for the year 2006 had been recorded by NRG Symphonie Data Retriever at University Malaysia Terengganu (UMT) Renewable Energy Station. Wind data had been analyzed using Weibull distribution method. The method for optimization sizing of the hybrid PY-wind systems presented involved the daily load demand for a specific house. In this study, the design of optimal size of the systems is based on the deficiency of power supply probability (DPSP), relative excess power generated (REPG) and unutilized energy probability (UEP) .