Wind energy is commonly applied in the electrical industry and is fast developing all over the world. Attention has been focused on the reliable connection between a wind farm and the gas turbine. Many researchers hope to improve wind turbine power generators. However, most of their research has focused on specific parts of the system, while the area of controlling wind turbine uncertainty in a smart grid has almost remain untouched. Since the production and consumption of wind energy is unpredictable, it is necessary for the relationship between a gas turbine and a wind farm to maintain a constant energy output for the consumer. To reduce uncertainty in the wind energy smart grid, this research presents a method using a robust control in a smart grid system that delivers and optimizes electricity derived from gas turbines and wind turbines through joint control centers in a stochastic consequence. The characteristics of the controller’s correspondence with the wind farm will be illustrated, and then the wind farm power system will be studied. Simulation results will also be analyzed to draw a conclusion. Our motivation is to reduce cost, improve environment, overcome the uncertainty impact and control a smart grid.