The optimal control strategy of the active distribution network（ADN）is the core technology to active management of distributed energy resources（DERs）and guarantee of economical and safe operation.This paper highlights an optimal schedule model for ADN on the basis of ADN and DERs features，whose purpose is minimum operation cost of a complete dispatching cycle by means of controllable DERs and tie-open switches，by considering the influence of electricity price variation at different times and the adjustment of tie-open switches position while ensuring energy conservation and capacity constraint of energy storage systems.In addition，an algorithm based on intelligent single particle optimizer（ISPO）is proposed to solve the optimal schedule strategy of ADN，which refreshes the vector position presentation and the position update process of the intelligent single particle.Finally，the case study results demonstrate the validity of the proposed optimal schedule model and its solution algorithm for ADN.