Abstract: The uncertainty nature of wind power generation leads to the difficulty for wind farm to precisely achieve the optimal regulation and control. Therefore, this paper proposes a fast-tracking optimization method to solve the operating state shifting caused by short-term fluctuations of wind generations. The centralized optimization is performed to obtain time- interval optimal operating point in central control unit, and each wind generator controller regulates its reactive power rapidly by utilizing gradient tracking technology to achieve fast-tracking optimization for short-term power fluctuations within time interval. The distributed fast-tracking optimizations at all wind generators together constitute the systematic tracking optimization of the whole wind farm. The effectiveness of proposed method is verified by a case study of a wind farm in China. The simulation results show that the fast-tracking optimization method can effectively reduce the power loss, improve voltage quality, and shorten the temporal scale of optimization for wind farm.