Abstract— The placement of wind turbines is a key technology for wind farm configuration, but the automatic placement of turbines is always still a difficult problem. The objective of every wind farm designer is producing as maximum as possible of energy, with minimal cost of installation The improved wind and turbine models are formulated into an optimal control framework in terms of minimizing the cost per unit energy of the wind farm. In this study, a code Wind Farm Optimization using a Genetic Algorithm (WFOAG) is developed for optimizing the placement of wind turbines in wind farm to minimize the cost per unit power produced from the wind farm. A genetic algorithm is employed for the optimization. WFOAG is validated using the results from previous studies.
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