In order to improve the integrated efficiency of soft open point（SOP） access to distribution network

we propose an optimization configuration method for multi-terminal SOP considering the load loss risk of important users. Firstly

data envelopment analysis and inverse data envelopment analysis methods are used to establish a blackout loss model of important users

and a SOP multi-state reliability model is established by the Markov method. Secondly

the priority index of important user’s transfer and the fault recovery strategy are proposed. Then a bi-level programming model of SOP considering the load loss risk of important users is established based on the calculation formula of rapid load loss risk. Finally

a hybrid optimization algorithm combining multi-objective evolutionary algorithm and cone programming is proposed to solve the model. Simulation results show that the proposed model can significantly reduce the annual comprehensive cost and the outage loss of important users. Compared with the traditional planning method

it solves the problem that the uninterrupted transfer capacity and failure recovery capacity can not be presented due to the low capacity of SOP. It is also verified that the proposed method is efficient

which provides theoretical and technical references for the practical application of SOP in distribution network.