Traditionally, this is formulated as a deterministic optimization problem. However, the additional uncertainty from wind power generation makes it relevant to consider alternative formulations. Several different approaches have been proposed in recent literature to address uncertainty in wind power generation in the unit commitment problem (e.g. Bart et al. 2006, Bouffard and Galiana 2008, Wang et al. 2008, Ruiz et al, 2009, Tuohy et al. 2009). Preliminary results indicate that such models can play an important role in reducing costs while maintaining system security under increased uncertainty and variability. However, more research is needed into developing and testing stochastic models for unit commitment, and how wind power forecasting errors (magnitude and phase errors) are likely to influence reliability and cost in the power system. In addition, it is important to consider the close interaction between operating reserve requirements and unit commitment policy.