A practical clustering method of DFIG wind farms based on dynamic current error

It is an important but challenging issue to represent a wind farm using an equivalent model. This paper tries to find a practical clustering method of a doubly-fed induction generator (DFIG) wind farm for power system simulation. In the paper, the equivalent wind speed for the equivalent model is calculated according to the relationship between power and wind speed. The operating status of DFIG are analyzed for clustering the turbines preliminary and the errors´ absolute value integration of output current between the detailed model and the equivalent model during the dynamic process are calculated and analyzed for practical clustering. Simulation results show that the proposed method can perform the dynamic characters of detailed model under homogeneous distributed wind speed case, low wind speed case and high wind speed case effectively.