With the continuous expansion of scale of the distribution network

its increasingly complicated topological structure causes the problem of fault location of the distribution network to be more and more complicated and

at the same time

the requirement to the fault location technology is higher. In view of the the shortcomings of traditional artificial intelligence algorithms

a kind of fault location scheme for distribution network based on beetle colony antennae search（BCAS）is introduced so to improve the fault tolerance and stability of fault location. The effectiveness and feasibility of the scheme are verified by simulation examples. It is shown by the result that the algorithm has high accuracy and fast convergence speed

can accurately locate the fault point in the distribution network and can

in case of fault information distortion at the same time

still locate correctly and have a strong fault tolerance ability.