<![CDATA[Isolated island regions face significant challenges in providing a sustainable electricity supply, with most still relying on high-cost diesel power plants. This study aims to evaluate the technical potential and optimize the layout of an onshore wind farm in the Tanimbar Islands as a preliminary feasibility study for the development of a hybrid energy system. Using NASA POWER time-series data from 2015 to 2024, wind speeds were extrapolated to a hub height of 90 meters to determine the empirical parameters of the Weibull distribution. This study applies an Evolutionary Multi-Objective (EMO) approach using the Adaptive Non-dominated Sorting Genetic Algorithm II (NSGA-II) implemented in MATLAB. The algorithm simultaneously optimizes four objective functions: maximizing Annual Energy Production (AEP), minimizing the Levelized Cost of Energy (LCOE), minimizing wake losses, and minimizing land use. The analysis identified an average wind speed of 7.72 m/s at hub height. The optimal Pareto solution indicates that the optimized layout achieves a Net Capacity Factor of 30.89%, generates a total energy output of 1,926.8 GWh/year, and delivers a competitive LCOE of 38.70 USD/MWh with low wake losses of 5.40%. These findings provide a framework for stakeholders in designing renewable energy infrastructure for remote island regions.]]>
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