A series of problems in the real-time dispatch of wind power integrated system are analyzed and a real-time dispatch method is proposed， fully considering energy saving and emission reduction， with dual goals of maximizing wind power and minimizing primary energy consumption. Based on the choas quantum-behaved particle swarm optimization algorithm， simulation results of the modified IEEE-118 node system show that the model can maximize wind power as well as minimize primary energy consumption， and the adoptive algorithm can meet the requirement of real-time， due to its fast computational speed and excellent convergence performance.