Abstract
In recent years, hybrid renewable energy system (HRES) is gaining attention on the field of sustainable development due to its capability in supplying energy in rural and remote areas with higher reliability, affordable cost and lower carbon footprint. In this study, the author implemented hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) in optimally sizing HRES that is composed of PV modules, wind turbine, battery and diesel generator. The main objective is to minimize levelized cost of energy (LCOE) and loss of power supply probability (LPSP). For the 20 independent runs of PSOGSA, it produced an average value of 0.2358 $/kWh for LCOE and 10.63% of LPSP for the proposed HRES in Pamarawan Island, Philippines. Compared to PSO and GSA, PSOGSA gained the lowest LCOE. The study shows the suitability of PSOGSA in optimally designing HRES on island countries like the Philippines.
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