Aiming at the problem that transition resistance and measurement error affect the accuracy of fault location in transmission line
a novel method of fault location for transmission line based on two-level back propagation(BP)neural network is proposed.Analy-ing the change of the two-terminal electrical quantity with transition resistance
the regional characteristics of the change regularity of the two-level electrical quantity are determined
and the research idea of precise positioning in different regions is introduced.The first level network is used to fuse the two-terminal electrical quantity
and fault scenarios are divided into low-resistance fault and high-resistance fault.Low-resistance fault location network and high-resistance fault location network in the second level network are used to fuse the two-terminal electrical quantity of low-resistance fault and high-resistance fault respectively
and the accurate fault location is evaluated.Then the training method is improved
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