Abstract: To improve the operational economy and user satisfaction of active distribution network （ADN）,an ADN optimization scheduling method considering demand response and user satisfaction is proposed.Considering the power purchase cost,power generation cost,maintenance cost and demand response cost during the operation of ADN,an optimal dispatching model is established with the objective function of minimizing the total operation cost of ADN.Utilizing strategies such as chaotic mapping,Levy flight,and nonlinear changes in convergence factors to improve the optimization performance of the improved spotted hyena optimization （ISHO） algorithm.The ISHO algorithm is used to solve the optimal dispatching model of the active distribution network.The results of the example analysis show that the optimization effect of the ISHO algorithm is better than other algorithms.When the two demand response participate in the system dispatching at the same time,the total operation cost of the active distribution network is the smallest and the economy is better.