Optimization of wind farm layout with optimum coordination of turbine cooperations

Traditional methods for micro-siting of wind farms usually assume that each turbine is controlled to obtain its individual maximum power generation. However, it is now common practice to implement farm level control actions during the daily operations in order to improve the economic profit of an entire wind plant. This study is then proposed to investigate the wind farm layout optimization to achieve the minimum cost per unit of energy (CoE), when the farm level control operations, the coordination of turbine cooperations (CTC), is considered preliminary farm planning stage. It is found that, by optimizing the turbine number and layout with CTC involved, the efficiency of a wind farm can be further improved. A single-objective optimization problem is firstly established by modelling all aforementioned factors of interest. Subsequently, a hybrid optimization algorithm is proposed, with a greedy algorithm to optimize the turbine number and a particle swarm optimization (PSO) algorithm to refine the turbine layout scheme. Eventually, extensive simulation studies with various scenarios are provided to substantiate the feasibility of the proposed scheme.

Automated summary

This study investigates the optimization of wind farm layout, taking into account the coordination of turbine cooperations in the preliminary planning stage. It is found that optimizing the turbine number and layout can further improve the efficiency of a wind farm.