Real-time fault location method of distribution network based on dynamic cloud and quantum neural network group

For resolving problems of serious fault data crossover phenomenon and poor real-time performance of traditional fault location methods of distribution network under the condition of weak fault signal, a real-time fault location method of distribution network based on dynamic cloud and quantum neural network group was proposed. A structure model of dynamic cloud and quantum neural network group was established for fault location of distribution network. An improved algorithm of dynamic cloud and quantum neural network group was proposed and real-time fault location steps based on the improved algorithm for distribution network were given. The method was simulated for fault location of a 10 kV distribution network with test accuracy of 97.39% and training time of 0.001 6 s. The results show that the method realizes fault location of distribution network under the condition of weak fault signal real-timely and effectively.