Even though increasing wind power generation significantly benefits the greening of power system generation, the intrinsic uncertainty and variability associated with large-scale wind generation greatly challenge the current power system operation, such as unit commitment (UC) and economic dispatch. So far, major wind farms are straightforwardly integrated into the existing UC framework as negative loads and operated with a wind-in-priority mode. With the prompt development of the control techniques of wind generators, such as switching on/off or fast pitching control, this manner of operation may underestimate the controllability of wind farms and result in the lack of operational flexibility of the power system. This paper addresses the issue by exploiting the controllability of wind farms in UC decision while considering its inherent uncertain nature. First, the wind generation controllability is modeled as an adjustable scenario set associated with prediction errors. And then a modified twostage stochastic UC model is formulated to incorporate the operational controllability of wind farms. A modified IEEE 39-bus system is employed to demonstrate the proposed methodology. Simulation results show that the utilization of wind generation controllability can considerably benefit the economy, reliability, and flexibility of power system dispatch. Yunhe Hou (Non-member) received the B.Sc. and Ph.D. degrees in electrical engineering from Huazhong University of Science and Technology, Wuhan, China, in 1999 and 2005, respectively. He is currently an Assistant Professor with the Department of Electrical and Electronic Engineering, The University of Hong Kong. His research interests include power system analysis, self-healing smart grid construction, and integration of renewable energy resources. Shengwei Mei (Non-member) received the B.Sc. degree in mathematics from Xinjiang University, Urumqi, China, the M.Sc. degree in operations research from Tsinghua University (THU), Beijing, China, and the Ph.D. degree in automatic control from the Chinese Academy of Sciences, Beijing, in 1984Beijing, in , 1989Beijing, in , and 1996. He is currently a Professor with THU. His research interests include power system analysis and control and game theory and its application in power systems.