Abstract: The extraction accuracy of fault signal frequency components is related to the accuracy of fault location.To solve this problem,this paper uses backward Prony algorithm to extract the natural frequency of the fault voltage as the sample.It can improve the training efficiency,speed up convergence and make the measurement more accurate by using WPA algorithm to optimize the weights and thresholds of BP neural network.The simulation results of ATP and Matlab show that this algorithm has high reliability and accuracy.