Abstract
To improve the overall output power and efficiency of the wind farm, considering the cost model of a wind turbine and the multi-turbine wake interference model, using genetic algorithm with elitist strategy, the real-coded method is used to optimize the wind farm layout. The optimal calculation results of three typical flow conditions show that: Compared with the results of the discrete optimization method, the continuous optimization can increase the output power and efficiency of a wind farm by about 1.05% ∼ 4.27% in the same amount of wind turbines, increase the economy of a wind farm by about 1.04% ∼ 4.10%, and avoid the influence of grid step size on the optimization results, so that it is possible to perform a finer micro-siting.
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