Aiming at the problems of wind power curtailment and pollutant emission of conventional units, and considering the economic benefits and improvement of wind energy utilization,a multi objective combined operation model of wind power and pumped storage is established. Non dominated sorting genetic algorithm II（NSGA II）is used to compare unit characteristics and determine the working conditions of the storage unit and the conventional unit. In order to maximize the benefit of peak shaving and valley filling of pumped storage units and minimize coal consumption and emission of conventional units, the optimum running mode is studied. Comparing three different running modes, the example proves that the model can effectively reduce the wind power curtailment,coal consumption and emissions. Meanwhile, comparing with multi objective particle swarm optimization, the superiority of NSGA II is shown.