OPTIMIZATION OF WIND FARMS BY ADJUSTING THE PITCH ANGLE AND MINIMIZING WAKE EFFECTS
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Abstract
Advances in the field of wind farm design are leading researchers to find the optimal design for the layout of wind turbines. The objective of this article is to study the optimization of the pitch angle of each wind turbine in order to maximize energy production and minimize the total investment cost in a wind farm. The reliable analytical gauss model including the effect of turbulence was chosen in our study, the genetic algorithm with a defined objective function, allowed to maximize and minimize the wake losses using the optimization of the angle pitch for each turbine. To validate our methodology, the off-rev1 wind farm was chosen in this study. The results obtained by applying this approach to a set of wind turbines have shown the importance of adjusting the pitch angle in the optimization of wind farms and minimization of wake effect.
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