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Aiming at the occurrence of line fault in distribution network, an intelligent identification method of fault type is developed, which is of great significance for rapid fault line selection and location. When different types of faults occur in the 35kV low-current grounding system, different transient currents will be generated. Therefore, a fault identification method based on transient current monitoring is proposed. FTU (Feeder Terminal Unit) was used to obtain transient current, and then symmetric component method was used to decompose transient current. The amplitude of positive, negative and zero sequence current obtained was used to construct probability neural network (PNN) for training. The test samples are brought into the PNN network, and the simulation results show that the fault identification method has high accuracy. Keywords—distribution network; fault type; fault characteristic quantity; neural network; fault identification

Fault type Identification of Distribution Network Based on Transient Current Sequence Component