New approach for optimizing the yaw of a wind farm using the random algorithm

Reducing wake interactions from upstream turbines is one way to improve the output of wind farms in wind farms. This can be achieved by adjusting the layout of the turbines and the yaw and pitch angles of the turbines. The direction of the wake of wind farms via the optimization of the yaw angles has received particular attention recently. Developing rapid optimization algorithms capable of identifying the right solutions in real time is one of the challenges of optimizing yaw. In this article we have devised a random search strategy to find the best yaw angles. The configuration of 39 wind turbines in a 2 km by 2 km region has been optimized in a wind farm designed diagonally to expose the maximum surface area to the wind. In order to maximize the quality of the solution while minimizing the computation costs, the algorithmic parameters have been refined. According to the results of the tests, this algorithm can systematically identify solutions close to the ideal (less than 1% of the best-known solutions) and quality solutions can be obtained with fewer iterations (less than 200). As the density of wind farms increases, the possibility of yaw optimization also increases, and good solutions are likely to be available in large numbers.