Bi-objective Layout Optimization for Multiple Wind Farms Considering Sequential Fluctuation of Wind Power Using Uniform Design

The fluctuation of wind power brings great challenges to the secure, stable, and cost-efficient operation of the power system. Because of the time-correlation of wind speed and the wake effect of wind turbines, the layout of wind farm has a significant impact on the wind power sequential fluctuation. In order to reduce the fluctuation of wind power and improve the operation security with lower operating cost, a bi-objective layout optimization model for multiple wind farms considering the sequential fluctuation of wind power is proposed in this paper. The goal is to determine the optimal installed capacity of wind farms and the location of wind turbines. The proposed model maximizes the energy production and minimizes the fluctuation of wind power simultaneously. To improve the accuracy of wind speed estimation and hence the power calculation, the time-shifting of wind speed between the wind tower and turbines' locations is also considered. A uniform design based two-stage genetic algorithm is developed for the solution of the proposed model. Case studies demonstrate the effectiveness of this proposed model.