Optimization of wind farm turbines layout using an evolutionary algorithm
Wind energy is one of the most promising renewable energies in the coming years. The construction of wind farms is destined to increase in the U.S. and Mexico, only Mexico has a wind potential of 19,805 GWh. An important stage in the construction and design of wind farms is to solve the Wind Farm Layout Optimization Problem (WFLOP). The design of the wind farm involves many factors. One of the non-linear factors is the wake effect, which reduces the energy produced by wind turbines. To maximize the wind energy capture, in this paper an evolutionary algorithm is implemented in such a way that the placement of wind turbines within wind farm be optimized taking account the individual energy loss due to wake effects. The evolutionary algorithm is implemented in several instances. The results obtained by the evolutionary algorithm are compared with the results of the Generalized Reduced Gradient (GRG) algorithm.