Abstract: The large-scale integrations of renewable energy generation have imposed higher demands for ramping capability of power systems. The widely applicable dispatch model for flexible ramping products（FRPs） in the industry is the optimization model with constraints of deterministic ramping requirements. However, this model cannot guarantee the feasibility of decision solutions of ramping capacity under the realization of uncertainty. In this paper, a two-stage distributionally robust dispatch model for FRPs considering the risk of violation of security constraints was establish, and the ambiguity set based on Wasserstein metric was constructed. The proposed model can compute ramping requirements automatically and guarantee the dispatchability of the derived decision solutions of FRPs. The model can be approximately recast as a mixed integer linear programming. Experiments on IEEE 14-bus and 118-bus systems were carried out to demonstrate the effectiveness of the proposed method. Comparing with the dispatch model with deterministic ramping requirements and the stochastic dispatch model considering uncertainty, the advantages of the proposed dispatch model were verified, and sensitivity of number of training samples on the proposed method was analyzed.