In order to optimize the operation strategies of a variety of schedulable equipment such as soft open point and energy storage system and to improve the operation economy of active distribution networks

we propose a two-stage optimization method of soft open point and energy storage system based on interval optimization. First

the proposed optimization method is described. Secondly

a two-stage interval optimization model for soft open point and energy storage system in active distribution networks is established. Then

the column and constraint generation algorithm is used to solve the model. Finally

case studies on the modified IEEE 33-node system and comparisons with the deterministic optimization approach are conducted to verify the effectiveness of the proposed method. The results show that the proposed method can be adopted to fully deal with the uncertainties of outputs of distributed generation and load demands

and the operation economy of active distribution network can be effectively improved.