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Hybrid energy system has become a desirable choice to solve the electrification problem for rural areas and islands which are unable to connect to national grid. The renewable energy has more benefits than the conventional diesel generator system. Optimal sizing study on the hybrid power system including PV, wind turbine, diesel generator and battery is studied in this thesis. An optimization sizing method based on genetic algorithm (GA) is proposed to find the global solution with less computational complexity. Following the economic and technical criteria, cost of energy (COE) is considered as the main objective function used in the optimization process, while the loss of power supply probability (LPSP) is determined to become the constraint function. The decision variables in the optimization procedure consider the number of all available energy sources. This thesis focuses on the hybrid power system for the special case in Basco Island, Batanes, Philippines. With the hourly meteorological data, the optimization method generates the best configuration for the lowest cost to meet the system reliability. In comparison, HOMER software is used to verify the results from GA based method. The proposed GA algorithm confirms that the hybrid system combining with both battery and diesel generator is the most beneficial and potential hybrid power system using in the future for rural electrification.

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