A dynamic reconstruction method considering distributed power supply and soft switch access for a power distribution network comprises the steps of building a source-load stochastic model, and performing stochastic power flow analysis on the power distribution network, wherein source-load stochastic model comprises a wind power generation system stochastic model, a solar photovoltaic power generation system stochastic model and a load stochastic model, and the stochastic power flow analysis of the power distribution network is based on a cumulant method; building an intelligent soft switch running model and a dynamic network reconstruction model, wherein the intelligent soft switch running model is expressed by capacity constraint of an intelligent soft switch converter, and the dynamic network reconstruction mathematical model comprises a target function and a constraint condition; and solving the built models by employing a genetic algorithm. The network reconstruction problem of thepower distribution network containing a distributed power supply and an intelligent soft switch is solved, a load among feeders of the power distribution network is balanced, the integral power flowdistribution of the system is improved, the overload is eliminated, the voltage level is improved, the electric energy quality and the power supply reliability are improved, the network loss is effectively reduced, and the running economy of the power distribution network is improved.