A Dynamic Equivalence Modelling Method for Wind Farms Considering Optimal Yaw Control Strategy

A simple and accurate equivalent model is important to analyze the impact of grid-connected wind farms on the power system. This paper proposes a dynamic equivalence modeling method for wind farms considering the optimal yaw control strategy. Firstly, a wake superposition model based on the Gaussian wake model is established to calculate the wind velocity for each wind turbine. The wind turbine yaw control strategy is optimized by Genetic Algorithm (GA) to deal with the effects of wind direction changes and increase the overall output of the wind farm. Then, the wind turbines are clustered by U-Shapelets (unsupervised shapelets) Clustering Algorithm (USCA) based on wind velocity and active power in yaw conditions. And the parameters of the equivalent model are calculated using the capacity weighting method and parameter identification algorithm. Finally, a simulation model constructed on Matlab / Simulink is applied to verify the effectiveness of the proposed method.