Abstract: A distribution operator-multi-microgrid two-layer-four-level stochastic-robust optimization model and its solution method are proposed, considering scenario probability and output uncertainty. Based on the principle of the master-slave game, the master-slave relationship between the upper-tier distribution operator and the lower-tier microgrid is constructed, and the transaction mechanism of the master-slave game is analyzed; the distribution operator establishes a stochastic pricing model considering the probability uncertainty of wind power scenarios; the lower tier microgrid establishes a stochastic robust optimal dispatch model with a four-tier structure, namely min-max-max-min, taking into account the effects of the probability uncertainty of the wind power scenarios and the power uncertainty; a variable alternating iteration four-tier stochastic optimization model is proposed, and a solution method is proposed. model; a column constraint generation algorithm with alternating variable iterations is proposed to solve the stochastic-robust model of the lower microgrid by decoupling the four-level structure; and a particle swarm algorithm is used to solve the non-convex two-level optimization model. Finally, the validity of the proposed model and method is verified by an arithmetic example.