The placement of wind turbines on a given area of land such that the wind farm produces a maximum amount of energy is a challenging optimization problem. In this article, we tackle this problem, taking into account wake effects that are produced by the different turbines on the wind farm. We significantly improve upon existing results for the minimization of wake effects by developing a new problem-specific local search algorithm. One key step in the speed-up of our algorithm is the reduction in computation time needed to assess a given wind farm layout compared to previous approaches. Our new method allows the optimization of large real-world scenarios within a single night on a standard computer, whereas weeks on specialized computing servers were required for previous approaches.
Recently, a random local search was presented that combines a problem-specific operator with an asymptotic speed-up of the computation time of the wake effects REF .
A Fast and Effective Local Search Algorithm for Optimizing the Placement of Wind Turbines
ArXiv
ArXiv
Computer Science Engineering