Abstract: With the development of renewable energy,uncertainties increase in power system. Accurate simulation renewable energy scenarios will have a great significance to scheduling optimal and power planning of large-scale new energy integration. In order to solve this problem, this paper proposed a scenario reduction 0-1 program model based on Wasserstein probability distance. Through analyzing the cluster validity index, proposed the cluster index system which includes internal validity and external validity. The optimal cluster number was determined according to the cluster validity index. In the example, initial scenario set was generated on the basis of Irish island wind power forecast-measured history data,scenario reduction according to the optimal cluster number that determined by the cluster validity index, proved the rationality and validity of this method. Compared and analyzed the traditional scenario reduction methods. The results show that the scenario reduction model proposed in this paper has high accuracy and applicability.