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

The interest in utilizing renewable energy sources has been grown globally. Since Palestine is ranked as a developing entity that suffers from being dependent on imported conventional energy sources, available non-dominated renewable energies may considerably ease its dependency. The location of Palestine offers a large potential of solar and wind energy sources ready to be utilized. In this paper a Hybrid renewable energy system (HRES) that integrates both solar and wind energies into main power grid is proposed. The proposed HRES is designed for one of the Palestine Polytechnic University (PPU) campuses in Hebron city. For the sake of the best efficient HRES, a Genetic algorithm (GA) is used to determine the most feasible economic values while ensuring the highest reliability. Results obtained show that then proposed hybrid energy system is cost-effective and most suitable for the demanded load. The study uses various parameters such including observations of solar radiation, wind speed, and other true economic parameters as capital cost, operation, and maintenance cost, to ensure best optimized combined solar and wind energies.