With the massive access of distributed energy in active distribution network, the value of demand response as a flexible and schedulable resource has been paid more and more attention. Based on the response characteristics of price-type and incentive-type demand response, considering user participation in demand response, taking into account the cost of power purchase, network loss cost, generation cost, energy storage cost and demand response cost, an active distribution network scheduling model with the minimum daily operation cost as the objective function is established. The model is solved by an improved particle swarm optimization algorithm. The modified IEEE33 node distribution system example verifies the effectiveness of the proposed model, and proves that improving user participation in demand response can improve the operation characteristics of the system.