Wind power ramping is a serious power fluctuation. In order to improve the stability of wind turbine output power and reduce the impact of wind power ramping on the grid, the finite control strategy for clustering wind power ramping based on priority ordering is put forward in this paper considering the problem of limited control ability of wind turbine in wind farm. Firstly, finite control model is established by dividing the ramping process into 3 stages; Secondly, according to the historical data of wind farm, wind turbines are divided into 3 categories by means of similarity measure and fuzzy C mean algorithm; Thirdly, based on the priority ordering method, the corresponding control strategy of wind turbine is established; At last, The experimental results show that the strategy can improve prevent the occurrence of high ramping rate and improve the controllability and stability of the system effectively.