proposes the robust optimization scheduling for active distribution network (ADN) through introducing demand response technology and the full use of elastic load adjustment ability of users affected by electricity prices, which can optimize the operation of distribution network on the basis of ensuring the safe and reliable operation of the system. The proposed method is divided into three stages. In the first stage, in order to transform the uncertain parameters into deterministic parameters, renewable energy output uncertainty is described by uncertain set and the extreme scenario method is adopted to cut down the set. In the second stage, the proposed method uses demand response technology and electricity price incentive to regulate the load, so as to realize the function of power peak load shifting. In the third stage, based on the bi-level planning model, the reactive power adjustment ability of renewable energy can cooperate with the traditional control methods of distribution network as a whole regulation, for the purpose of reducing the network loss and voltage fluctuation of ADN, and the regulation number of traditional equipment, as well as the optimization of distribution network operation. Finally, the effectiveness of the proposed method is validated based on the American PG&E 69-bus system.