The distribution network has the characteristics of wide coverage

long total length of lines and complex structure

which leads to high probability of failure and difficulty in finding the fault location.It seriously affects the stability of the system and the reliability of power supply for users.Firstly

it proposes a method of distribution network fault section location based on Bayesian compressed sensing sparse current reconstruction.By analyzing the sparsity of virtual node current when the fault occurs

it controls the distribution network pressure measuring unit(PMU) device based on 0～1 integer programming method.Secondly

it establishes the distribution network node voltage underdetermined equation.It uses the Bayesian compressed sensing technology to solve the node sparse current vector

and then determines the fault section.Finanlly

it has the simulation analysis on IEEE 33-bus distribution network.The results show that this method has good positioning accuracy on the basis of ensuring the reliability of the results.