Wind farm layout optimization using particle filtering approach

In this study, a particle filtering approach is used to get an optimized layout of a wind farm that has the minimum wake effects and maximum power generation. There are two main constraints of the problem, which are the wind farm boundary and the distance of any two turbines to each other. The constraints and wake effects of the wind turbines are integrated to the solution methodology. Particle filtering is a new approach and used to optimize the layout model of the problem with three different cases of the wind speed and its direction distribution of the windy site. Results show that the particle filtering approach can compete with ant colony and evolutionary strategy algorithms available in the literature.

► Layout optimization of a wind farm with a wake effect is strongly NP-hard.
► A fast and new heuristic for the general problem with good estimates is provided.
► An extensive numerical analysis of the proposed algorithm is presented.