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The shift to sustainable energy is a global challenge, and wind energy is at the forefront of this change. This project presents a detailed study on the multi-objective optimization of wind farm layouts with the aim of maximizing energy generation and minimizing land use. A comparative approach is adopted using three advanced evolutionary algorithms, namely NSGA-II, MOPSO, and MOEA/D, to evaluate optimal turbine positioning within wind farms. Two wake effect models, Jensen and Graham, are utilized to model turbine interactions. The study focuses on identifying suitable sites in Saudi Arabia with favorable wind and solar characteristics for future hybrid renewable opportunities. MATLAB is used for algorithm development and performance evaluation. The results demonstrate the trade-offs between power output and land use constraints, providing practical guidelines and insights for wind farm developers and decision-makers. This work contributes to the field of renewable energy engineering by promoting environmentally and economically efficient wind farm layouts.
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Attribution-NonCommercial-NoDerivatives 4.0 International