Techno-Economic Feasibility Analysis of Solar-Wind Energy Conversion System Utilizing Genetic Algorithm

Woroud A. O. Alnatsha
ورود عبد المنعم النتشه
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Al-Quds University
In recent years, the interest in using renewable energy sources has been growing globally since they are considered as a key solution to satisfy the world increasing demand for energy and for reducing the global carbon emission. Palestinians have previously started utilizing solar energy for heating water for domestic and industrial uses. Recently, a strong trend has been made to use solar energy to convert it into electrical energy using solar cells. In addition, the geographic and topographic configuration and the prevalence of dominant wind can be a good potential for small and medium wind energy conversion systems (Turbines). The objective of this study is to simulate and optimize the renewable energy system of Palestine Polytechnic University (PPU) campus that is located in the Hebron city which consists of 230 kW photovoltaic energy conversion, by adding wind energy conversion system and changing the current system to on-grid hybrid renewable energy system HRES. This study is based on a configuration of (HRES) by using a genetic algorithm (GA) which enables the identifications of the optimum size that meets the possible demand along with most feasible economical values and ensuring the highest system reliability. The simulation results clearly show that the HRES is a more economical configuration than single renewable energy systems which has a total net cost of (410,743 $) and a cost of energy (COE) of (0.043) $/kWh.