An Equivalent Aggregation Model of Wind Farm Considering Wind Curtailment

Abstract

The large integration of wind power and the complexity of internal connections of wind farm have increased the difficulty of establishing the equivalent wind power output model of wind farm. Taking into account the geographical distribution of wind turbines and the curtailment of wind power, this paper proposes a novel wind farm equivalent output model considering wind curtailment. First, an improved combination method based on the quartile method and the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is proposed to eliminate the outliers in operating data. Second, with reference to the layout of wind turbines in the wind farm, four basic wind farm equivalent output models with equivalent transformations between wind speed and wind power relationship are established. At last, a k-means clustering-based wind turbine operating status identification method is proposed, and it is further combined with the outlier elimination model and the basic wind farm equivalence model such as to obtain the wind farm equivalence aggregation model with the consideration of wind curtailment. Case study is carried out based on the actual output data of 15 scattered wind turbines in wind farm from Hebei. The proposed equivalent aggregation model is established and compared with the equivalent model without considering curtailment. Study results show that the proposed the equivalent aggregation model possesses higher accuracy, reliability and versatility.