Wind Power Curtailment Evaluation Based On Eof And Hierarchical Clustering Method

Wind power curtailment has greatly hindered the development of wind power industry in China. The accurate evaluation of wind power curtailment is vital for the economic dispatch and secure operation of power systems integrated with wind power. Benchmarking wind turbine method has been commonly used for wind power curtailment evaluation in China since 2013. An improved evaluation method of wind power curtailment based on EOF and hierarchical clustering method is proposed in this paper. The method obtains the theoretical generation of wind farms by multiplying the output of selected one or several wind turbines and the total number of wind turbines with certain allocation coefficients. The selection of benchmarking wind turbines and the determination of allocation coefficients are important issues. Wind turbines are divided into groups according to the spatial distribution characteristic of wind resource inside the wind farm. The clustering result is used for selecting sample wind turbines and determining allocation coefficients, applied to the estimation of wind power curtailment. Finally, the case study illustrates that the proposed method is effective with comparison of conventional benchmarking wind turbine method based on one-year observed data.